Vaneet Aggarwal

573 papers A* 50A 21B 38C 1Misc 10Journal 412Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BalancedDPO: Adaptive Multi-Metric Alignment. Trans. Mach. Learn. Res. Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal
2026	J	`jnl`	Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning. CoRR Swetha Ganesh, Vaneet Aggarwal
2026	J	`jnl`	Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds. CoRR Jiefu Zhang, Yang Xu, Vaneet Aggarwal
2026	A*	`conf`	ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions. AAAI Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
2026	—	`ed.`	Game Theory for Networks - 13th EAI International Conference, GameNets 2025, Cambridge, UK, March 17-18, 2025, Proceedings GAMENETS Vaneet Aggarwal, Tobias Harks, Sanjiv Kapoor
2026	J	`jnl`	Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization. CoRR Anirudh Satheesh, Pankaj Kumar Barman, Washim Uddin Mondal, Vaneet Aggarwal
2026	J	`jnl`	Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access. Trans. Mach. Learn. Res. Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli, Amrit Singh Bedi, Vaneet Aggarwal
2026	J	`jnl`	LiSFC-Search: Lifelong Search for Network SFC Optimization under Non-stationary Drifts. CoRR Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2026	J	`jnl`	Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback. CoRR Subham Pokhriyal, Shweta Jain, Vaneet Aggarwal
2026	J	`jnl`	Oracle-Robust Online Alignment for Large Language Models. CoRR Zimeng Li, Mudit Gaur, Vaneet Aggarwal
2026	J	`jnl`	Order-Optimal Sample Complexity of Rectified Flows. CoRR Hari Krishna Sahoo, Mudit Gaur, Vaneet Aggarwal
2026	J	`jnl`	PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing. CoRR Dipesh Tamboli, Vineet Punyamoorty, Atharv Pawar, Vaneet Aggarwal
2026	J	`jnl`	Regret Analysis of Unichain Average Reward Constrained MDPs with General Parameterization. CoRR Anirudh Satheesh, Vaneet Aggarwal
2026	J	`jnl`	Sample Complexity Analysis for Constrained Bilevel Reinforcement Learning. CoRR Naman Saxena, Vaneet Aggarwal
2026	J	`jnl`	Stabilizing Fixed-Point Iteration for Markov Chain Poisson Equations. CoRR Yang Xu, Vaneet Aggarwal
2026	J	`jnl`	Stronger Approximation Guarantees for Non-Monotone γ-Weakly DR-Submodular Maximization. CoRR Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal
2026	J	`jnl`	Toward Quantum Image Generation on Single Qubit Using Quantum Information Bottleneck. IEEE Trans. Artif. Intell. Yijie Zhu, Vaneet Aggarwal, Debanjan Konar, Yuri A. Pashkin, Plamen Angelov, Richard Jiang
2026	J	`jnl`	Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets. CoRR Yiyang Lu, Hareshkumar Jadav, Mohammad Pedramfar, Ranveer Singh, Vaneet Aggarwal
2026	J	`jnl`	γ-weakly θ-up-concavity: Linearizable Non-Convex Optimization with Applications to DR-Submodular and OSS Functions. CoRR Mohammad Pedramfar, Vaneet Aggarwal
2025	J	`jnl`	A Long-Term-Planning Learning Strategy to Coordinate Viewport Prediction and Video Transmission in 360° Video Streaming. IEEE Trans. Mob. Comput. Guanghui Zhang, Jing Guo, Mengbai Xiao, Dongxiao Yu, Vaneet Aggarwal, Xiuzhen Cheng
2025	A*	`conf`	A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach. ICML Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
2025	J	`jnl`	A Technical Survey of Reinforcement Learning Techniques for Large Language Models. CoRR Saksham Sahai Srivastava, Vaneet Aggarwal
2025	A*	`conf`	Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach. ICML Yang Xu, Vaneet Aggarwal
2025	J	`jnl`	Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach. CoRR Yang Xu, Vaneet Aggarwal
2025	A*	`conf`	Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. AAAI Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia
2025	J	`jnl`	Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. CoRR Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia
2025	J	`jnl`	Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions. CoRR Debanjan Konar, Neerav Sreekumar, Richard M. Jiang, Vaneet Aggarwal
2025	J	`jnl`	Alz-QNet: A quantum regression network for studying Alzheimer's gene interactions. Comput. Biol. Medicine Debanjan Konar, Neerav Sreekumar, Richard Jiang, Vaneet Aggarwal
2025	A	`conf`	Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework. AAMAS Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal
2025	A*	`conf`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. ICLR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton
2025	J	`jnl`	Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery. CoRR Aditya Malusare, Vineet Punyamoorty, Vaneet Aggarwal
2025	J	`jnl`	BalancedDPO: Adaptive Multi-Metric Alignment. CoRR Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal
2025	J	`jnl`	Bi-Criteria Optimization for Combinatorial Bandits: Sublinear Regret and Constraint Violation under Bandit Feedback. CoRR Vaneet Aggarwal, Shweta Jain, Subham Pokhriyal, Christopher John Quinn
2025	J	`jnl`	Contrastive Cross-Modal Learning for Infusing Chest X-ray Knowledge into ECGs. CoRR Vineet Punyamoorty, Aditya Malusare, Vaneet Aggarwal
2025	J	`jnl`	Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization. CoRR Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
2025	J	`jnl`	Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization. Trans. Mach. Learn. Res. Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
2025	J	`jnl`	Discrete State Diffusion Models: A Sample Complexity Perspective. CoRR Aadithya Srikanth, Mudit Gaur, Vaneet Aggarwal
2025	J	`jnl`	Distributionally Robust Self Paced Curriculum Reinforcement Learning. CoRR Anirudh Satheesh, Keenan Powell, Vaneet Aggarwal
2025	A	`conf`	Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion. IROS Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang, Vaneet Aggarwal, Damon Conover, Aniket Bera
2025	J	`jnl`	ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions. CoRR Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
2025	J	`jnl`	Efficient CoRR Yang Xu, Swetha Ganesh, Vaneet Aggarwal
2025	A	`conf`	Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants. AISTATS Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini
2025	J	`jnl`	Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants. CoRR Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini
2025	J	`jnl`	Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning. CoRR Yang Xu, Washim Uddin Mondal, Vaneet Aggarwal
2025	J	`jnl`	GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow. CoRR Mengbo Wang, Shourya Verma, Aditya Malusare, Luopin Wang, Yiyang Lu, Vaneet Aggarwal, Mario Sola, Ananth Grama, Nadia Atallah Lanman
2025	J	`jnl`	Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching. CoRR Mudit Gaur, Prashant Trivedi, Shuchin Aeron, Amrit Singh Bedi, George K. Atia, Vaneet Aggarwal
2025	J	`jnl`	Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm. CoRR Yang Xu, Swetha Ganesh, Washim Uddin Mondal, Qinbo Bai, Vaneet Aggarwal
2025	J	`jnl`	Improving Molecule Generation and Drug Discovery With a Knowledge-Enhanced Generative Model. IEEE Trans. Comput. Biol. Bioinform. Aditya Malusare, Vaneet Aggarwal
2025	J	`jnl`	Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. IEEE Trans. Netw. Serv. Manag. Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	Modeling Brain Aging With Explainable Triamese ViT: Towards Deeper Insights Into Autism Disorder. IEEE J. Biomed. Health Informatics Zhaonian Zhang, Vaneet Aggarwal, Plamen Angelov, Richard Jiang
2025	A*	`conf`	Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. INFOCOM Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2025	J	`jnl`	Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. CoRR Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2025	J	`jnl`	On The Sample Complexity Bounds In Bilevel Reinforcement Learning. CoRR Mudit Gaur, Amrit Singh Bedi, Raghu Pasupathu, Vaneet Aggarwal
2025	A	`conf`	Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization. UAI Swetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal
2025	J	`jnl`	Order-Optimal Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization. CoRR Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
2025	A	`conf`	Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs. AISTATS Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
2025	J	`jnl`	Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs. CoRR Anirudh Satheesh, Sooraj Sathish, Swetha Ganesh, Keenan Powell, Vaneet Aggarwal
2025	A*	`conf`	Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes. ICML Bhargav Ganguly, Yang Xu, Vaneet Aggarwal
2025	J	`jnl`	Rack Position Optimization in Large-Scale Heterogeneous Data Centers. CoRR Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach. CoRR Swetha Ganesh, Vaneet Aggarwal
2025	J	`jnl`	Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding. IEEE Trans. Artif. Intell. Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Brian M. Sadler, Alec Koppel
2025	J	`jnl`	Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access. CoRR Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli, Amrit Singh Bedi, Vaneet Aggarwal
2025	J	`jnl`	Shooting Large-scale Traffic Engineering by Combining Deep Learning and Optimization Approach. PACMNET Chenyi Liu, Haotian Deng, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2025	A	`conf`	Stochastic AAMAS Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
2025	J	`jnl`	Stochastic Submodular Bandits With Delayed Composite Anonymous Bandit Feedback. IEEE Trans. Artif. Intell. Mohammad Pedramfar, Vaneet Aggarwal
2025	J	`jnl`	Tensor ring optimized quantum-enhanced tensor neural networks. Quantum Mach. Intell. Debanjan Konar, Dheeraj Peddireddy, Bijaya K. Panigrahi, Vaneet Aggarwal
2025	A*	`conf`	Variational Offline Multi-agent Skill Discovery. IJCAI Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	A Bi-directional Quantum Search Algorithm. CoRR Debanjan Konar, Zain Hafeez, Vaneet Aggarwal
2024	J	`jnl`	A Generalized Approach to Online Convex Optimization. CoRR Mohammad Pedramfar, Vaneet Aggarwal
2024	J	`jnl`	A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks. IEEE Trans. Veh. Technol. Chang-Lin Chen, Bharat K. Bhargava, Vaneet Aggarwal, Basavaraj Tonshal, Amrit Gopal
2024	J	`jnl`	A Scalable Quantum Non-local Neural Network for Image Classification. CoRR Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal
2024	J	`jnl`	An Accelerated Multi-level Monte Carlo Approach for Average Reward Reinforcement Learning with General Policy Parametrization. CoRR Swetha Ganesh, Vaneet Aggarwal
2024	J	`jnl`	Analysis of Fork-Join Scheduling on Heterogeneous Parallel Servers. IEEE/ACM Trans. Netw. Moonmoon Mohanty, Gaurav Gautam, Vaneet Aggarwal, Parimal Parag
2024	J	`jnl`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
2024	A*	`conf`	Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. ICML Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal
2024	J	`jnl`	Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. CoRR Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal
2024	J	`jnl`	Coded Caching With Heterogeneous User Profiles. IEEE Trans. Inf. Theory Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato
2024	A*	`conf`	Combinatorial Stochastic-Greedy Bandit. AAAI Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal
2024	J	`jnl`	Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
2024	J	`jnl`	Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
2024	J	`jnl`	Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. Trans. Mach. Learn. Res. Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion. CoRR Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang, Vaneet Aggarwal, Damon Conover, Aniket Bera
2024	J	`jnl`	FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li
2024	A*	`conf`	Federated Combinatorial Multi-Agent Multi-Armed Bandits. ICML Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
2024	J	`jnl`	Federated Combinatorial Multi-Agent Multi-Armed Bandits. CoRR Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
2024	A	`conf`	FilFL: Client Filtering for Optimized Client Participation in Federated Learning. ECAI Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini
2024	A*	`conf`	From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization. NeurIPS Mohammad Pedramfar, Vaneet Aggarwal
2024	J	`jnl`	From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization. CoRR Mohammad Pedramfar, Vaneet Aggarwal
2024	J	`jnl`	GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments. Inf. Divija Swetha Gadiraju, Prasenjit Karmakar, Vijay K. Shah, Vaneet Aggarwal
2024	J	`jnl`	Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. CoRR Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024	J	`jnl`	Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. Trans. Mach. Learn. Res. Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024	J	`jnl`	Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic. CoRR Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha
2024	A*	`conf`	Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints. NeurIPS Guanyu Nie, Vaneet Aggarwal, Christopher J. Quinn
2024	J	`jnl`	Hierarchical Adversarial Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024	A*	`conf`	Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. ICLR Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang
2024	A	`conf`	Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. AISTATS Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model. CoRR Aditya Malusare, Vaneet Aggarwal
2024	J	`jnl`	Insdel codes from subspace and rank-metric codes. Discret. Math. Vaneet Aggarwal, Rakhi Pratihar
2024	J	`jnl`	Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs. CoRR Washim Uddin Mondal, Vaneet Aggarwal
2024	A*	`conf`	Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. NeurIPS Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL). J. Mach. Learn. Res. Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2024	J	`jnl`	Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. IEEE Netw. Lett. Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal
2024	J	`jnl`	Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN. CoRR Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal
2024	J	`jnl`	Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift. IEEE/ACM Trans. Netw. Bhargav Ganguly, Vaneet Aggarwal
2024	J	`jnl`	Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2024	Misc	`conf`	Quantum-Enhanced Spiking Neural Networks. QCE Ria Khatoniar, Debanjan Konar, Vaneet Aggarwal
2024	A*	`conf`	Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer. CoRR Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2024	J	`jnl`	Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. IEEE J. Biomed. Health Informatics Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2024	A*	`conf`	Sample-Efficient Constrained Reinforcement Learning with General Parameterization. NeurIPS Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Sample-Efficient Constrained Reinforcement Learning with General Parameterization. CoRR Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Stochastic CoRR Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
2024	A*	`conf`	Stochastic Q-learning for Large Discrete Action Spaces. ICML Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini
2024	J	`jnl`	Stochastic Q-learning for Large Discrete Action Spaces. CoRR Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini
2024	J	`jnl`	Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? IEEE Open J. Commun. Soc. Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini
2024	A*	`conf`	Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. ICML Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi
2024	A*	`conf`	Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. ICLR Mohammad Pedramfar, Yididiya Y. Nadew, Christopher John Quinn, Vaneet Aggarwal
2024	J	`jnl`	Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. CoRR Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal
2024	J	`jnl`	Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes. CoRR Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Variational Offline Multi-agent Skill Discovery. CoRR Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	A Community-Aware Framework for Social Influence Maximization. IEEE Trans. Emerg. Top. Comput. Intell. Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
2023	B	`conf`	A Data-Driven Framework for TCP to Achieve Flexible QoS Control in Mobile Data Networks. IWQoS Jiaqi Yao, Ke Liu, Ting Liang, Theophilus A. Benson, Jack Y. B. Lee, Vaneet Aggarwal, Yungang Bao, Mingyu Chen
2023	A*	`conf`	A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. ICML Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn
2023	J	`jnl`	A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. CoRR Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn
2023	J	`jnl`	A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2023	A*	`conf`	A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS Jiayu Chen, Vaneet Aggarwal, Tian Lan
2023	A*	`conf`	A Unified Approach for Maximizing Continuous DR-submodular Functions. NeurIPS Mohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal
2023	J	`jnl`	A Unified Approach for Maximizing Continuous DR-submodular Functions. CoRR Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal
2023	J	`jnl`	A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal
2023	A*	`conf`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. AAAI Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal
2023	J	`jnl`	Adaptive Video Streaming With Automatic Quality-of-Experience Optimization. IEEE Trans. Mob. Comput. Guanghui Zhang, Jie Zhang, Yan Liu, Haibo Hu, Jack Y. B. Lee, Vaneet Aggarwal
2023	A*	`conf`	An Intelligent Learning Approach to Achieve Near-Second Low-Latency Live Video Streaming under Highly Fluctuating Networks. ACM Multimedia Guanghui Zhang, Ke Liu, Mengbai Xiao, Bingshu Wang, Vaneet Aggarwal
2023	J	`jnl`	An Optimization Framework Based on Deep Reinforcement Learning Approaches for Prism Blockchain. IEEE Trans. Serv. Comput. Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal
2023	J	`jnl`	An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design. J. Comput. Des. Eng. Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal
2023	J	`jnl`	Asymptotic Analysis of Probabilistic Scheduling for Erasure-Coded Heterogeneous Systems. SIGMETRICS Perform. Evaluation Rev. Rooji Jinan, Gaurav Gautam, Parimal Parag, Vaneet Aggarwal
2023	J	`jnl`	Classical simulation of variational quantum classifiers using tensor rings. Appl. Soft Comput. Dheeraj Peddireddy, Vipul Bansal, Vaneet Aggarwal
2023	J	`jnl`	Combinatorial Stochastic-Greedy Bandit. CoRR Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal
2023	J	`jnl`	DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming. IEEE Trans. Serv. Comput. Guanghui Zhang, Jie Zhang, Ke Liu, Jing Guo, Jack Y. B. Lee, Haibo Hu, Vaneet Aggarwal
2023	B	`conf`	Deep Spiking Quantum Neural Network for Noisy Image Classification. IJCNN Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi
2023	A*	`conf`	Domain Adaptive Few-Shot Open-Set Learning. ICCV Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee
2023	J	`jnl`	Domain Adaptive Few-Shot Open-Set Learning. CoRR Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee
2023	J	`jnl`	FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. CoRR Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li
2023	J	`jnl`	FilFL: Accelerating Federated Learning via Client Filtering. CoRR Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini
2023	—	`conf`	Fractional Budget Allocation for Influence Maximization. CDC Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn
2023	J	`jnl`	Heat-assisted detection and ranging. Nat. Fanglin Bao, Xueji Wang, Shree Hari Sureshbabu, Gautam Sreekumar, Liping Yang, Vaneet Aggarwal, Vishnu Naresh Boddeti, Zubin Jacob
2023	J	`jnl`	Hierarchical Deep Counterfactual Regret Minimization. CoRR Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. CoRR Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang
2023	A*	`conf`	Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. NeurIPS Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal
2023	J	`jnl`	Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. CoRR Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal
2023	A*	`conf`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. NeurIPS Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	J	`jnl`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. CoRR Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	J	`jnl`	Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. CoRR Washim Uddin Mondal, Vaneet Aggarwal
2023	J	`jnl`	Latency Minimization for Mobile Edge Computing Networks. IEEE Trans. Mob. Comput. Chang-Lin Chen, Christopher G. Brinton, Vaneet Aggarwal
2023	J	`jnl`	Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence. SIGMETRICS Perform. Evaluation Rev. Abhishek K. Umrawal, Vaneet Aggarwal
2023	J	`jnl`	Machine Learning for Robust Network Design: A New Perspective. IEEE Commun. Mag. Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu
2023	J	`jnl`	Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. CoRR Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2023	J	`jnl`	Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. Trans. Mach. Learn. Res. Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2023	J	`jnl`	Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
2023	A*	`conf`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization. CoRR Dheeraj Peddireddy, Utkarsh Priyam, Vaneet Aggarwal
2023	A*	`conf`	On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. ICML Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
2023	J	`jnl`	On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization. CoRR Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal
2023	A*	`conf`	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming. IEEE Trans. Mob. Comput. Guanghui Zhang, Ke Liu, Haibo Hu, Vaneet Aggarwal, Jack Y. B. Lee
2023	J	`jnl`	Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints. J. Mach. Learn. Res. Qinbo Bai, Vaneet Aggarwal, Ather Gattami
2023	J	`jnl`	Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning. CoRR Bhargav Ganguly, Vaneet Aggarwal
2023	J	`jnl`	Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. CoRR Bhargav Ganguly, Yulian Wu, Di Wang, Vaneet Aggarwal
2023	J	`jnl`	Quantum Heavy-tailed Bandits. CoRR Yulian Wu, Chaowen Guan, Vaneet Aggarwal, Di Wang
2023	A	`conf`	Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. AISTATS Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini
2023	J	`jnl`	Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. CoRR Fares Fourati, Vaneet Aggarwal, Christopher John Quinn, Mohamed-Slim Alouini
2023	J	`jnl`	Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2023	J	`jnl`	Reinforcement Learning for Joint Optimization of Multiple Rewards. J. Mach. Learn. Res. Mridul Agarwal, Vaneet Aggarwal
2023	J	`jnl`	Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. CoRR Washim Uddin Mondal, Vaneet Aggarwal
2023	J	`jnl`	Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. Trans. Mach. Learn. Res. Washim Uddin Mondal, Vaneet Aggarwal
2023	J	`jnl`	Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback. CoRR Mohammad Pedramfar, Vaneet Aggarwal
2023	J	`jnl`	Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks. CoRR Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi
2023	J	`jnl`	Terrain-based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? CoRR Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini
2023	J	`jnl`	Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023	J	`jnl`	Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023	J	`jnl`	Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong
2023	J	`jnl`	Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision. CoRR Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli, Nadia Atallah Lanman, Vaneet Aggarwal
2023	J	`jnl`	Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	10 Years of Natural Data Storage. IEEE Trans. Mol. Biol. Multi Scale Commun. Dixita Limbachiya, Manish K. Gupta, Vaneet Aggarwal
2022	J	`jnl`	A Community-Aware Framework for Social Influence Maximization. CoRR Abhishek Kumar Umrawal, Vaneet Aggarwal
2022	J	`jnl`	A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk. IEEE Trans. Hum. Mach. Syst. Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu
2022	J	`jnl`	A Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Ashutosh Singh, Abubakr O. Al-Abbasi, Vaneet Aggarwal
2022	J	`jnl`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. CoRR Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal
2022	A*	`conf`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
2022	J	`jnl`	AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection. IEEE Trans. Intell. Transp. Syst. Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2022	A	`conf`	An explore-then-commit algorithm for submodular maximization under full-bandit feedback. UAI Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn
2022	J	`jnl`	Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? CoRR Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	A	`conf`	Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	Coded Caching with Heterogeneous User Profiles. CoRR Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato
2022	J	`jnl`	Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2022	—	`conf`	Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming. CDC Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal
2022	J	`jnl`	Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava
2022	J	`jnl`	Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. CoRR Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks. IEEE Trans. Cogn. Commun. Netw. Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, Alec Koppel
2022	A*	`conf`	FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal
2022	J	`jnl`	FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal
2022	J	`jnl`	Hierarchical Adversarial Inverse Reinforcement Learning. CoRR Jiayu Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD. IEEE Trans. Ind. Informatics Xingyu Fu, Dheeraj Peddireddy, Vaneet Aggarwal, Martin Byung-Guk Jun
2022	A	`conf`	Information theoretic approach to detect collusion in multi-agent games. UAI Trevor Bonjour, Vaneet Aggarwal, Bharat K. Bhargava
2022	J	`jnl`	Joint Information Freshness and Completion Time Optimization for Vehicular Networks. IEEE Trans. Serv. Comput. Abubakr O. Al-Abbasi, Vaneet Aggarwal
2022	J	`jnl`	Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. J. Artif. Intell. Res. Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2022	J	`jnl`	Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL). CoRR Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
2022	J	`jnl`	Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
2022	A	`conf`	Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS Mridul Agarwal, Vaneet Aggarwal, Tian Lan
2022	J	`jnl`	Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai
2022	J	`jnl`	Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	A	`conf`	Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Multi-agent Deep Covering Option Discovery. CoRR Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR Jiayu Chen, Vaneet Aggarwal, Tian Lan
2022	J	`jnl`	On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). J. Mach. Learn. Res. Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. CoRR Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
2022	J	`jnl`	On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. CoRR Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
2022	J	`jnl`	Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift. CoRR Bhargav Ganguly, Vaneet Aggarwal
2022	J	`jnl`	PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	A*	`conf`	PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2022	J	`jnl`	PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning. IEEE Trans. Intell. Transp. Syst. Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2022	J	`jnl`	Queueing Theoretic Models for Uncoded and Coded Multicast Wireless Networks With Caches. IEEE Trans. Wirel. Commun. Mahadesh Panju, Ramkumar Raghu, Vinod Sharma, Vaneet Aggarwal, Ramachandran Rajesh
2022	A	`conf`	Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2022	J	`jnl`	Reinforcement Learning for Mean-Field Game. Algorithms Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari
2022	A*	`conf`	Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. CoRR Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal
2022	J	`jnl`	Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2021	J	`jnl`	A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava
2021	J	`jnl`	A Supervised Learning Approach for Robust Health Monitoring using Face Videos. CoRR Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal
2021	J	`jnl`	A Unified Framework for Flexible Playback Latency Control in Live Video Streaming. IEEE Trans. Parallel Distributed Syst. Guanghui Zhang, Jack Y. B. Lee, Ke Liu, Haibo Hu, Vaneet Aggarwal
2021	J	`jnl`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
2021	J	`jnl`	AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. CoRR Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2021	J	`jnl`	An FEA surrogate model with Boundary Oriented Graph Embedding approach. CoRR Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal
2021	—	`conf`	Auditable serverless computing for farm management. BiDEDE@SIGMOD Servio Palacios, Drew Zabrocki, Bharat K. Bhargava, Vaneet Aggarwal
2021	A*	`conf`	Blind Decision Making: Reinforcement Learning with Delayed Observations. ICAPS Mridul Agarwal, Vaneet Aggarwal
2021	J	`jnl`	Blind decision making: Reinforcement learning with delayed observations. Pattern Recognit. Lett. Mridul Agarwal, Vaneet Aggarwal
2021	—	`conf`	CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu
2021	J	`jnl`	Communication Efficient Parallel Reinforcement Learning. CoRR Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
2021	A	`conf`	Communication efficient parallel reinforcement learning. UAI Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
2021	J	`jnl`	Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2021	A*	`conf`	DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn
2021	A*	`conf`	DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. ICRA Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs
2021	J	`jnl`	DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning. CoRR Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal
2021	A*	`conf`	DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021	J	`jnl`	DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021	B	`conf`	Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. RO-MAN Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
2021	B	`conf`	Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. GLOBECOM Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2021	J	`jnl`	Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2021	J	`jnl`	FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen
2021	J	`jnl`	Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. Rutvij H. Jhaveri, Sagar V. Ramani, Gautam Srivastava, Thippa Reddy Gadekallu, Vaneet Aggarwal
2021	J	`jnl`	FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation. IEEE Trans. Intell. Transp. Syst. Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal
2021	J	`jnl`	Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2021	J	`jnl`	Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
2021	J	`jnl`	Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal
2021	J	`jnl`	Machine Learning for Communications. Entropy Vaneet Aggarwal
2021	J	`jnl`	Markov Decision Processes with Long-Term Average Constraints. CoRR Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2021	J	`jnl`	Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory Vaneet Aggarwal, Tian Lan
2021	J	`jnl`	Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
2021	J	`jnl`	NPSCS: Non-Preemptive Stochastic Coflow Scheduling With Time-Indexed LP Relaxation. IEEE Trans. Netw. Serv. Manag. Ruijiu Mao, Vaneet Aggarwal
2021	—	`conf`	Novelty Detection and Adaptation: A Domain Agnostic Approach. ISIC Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2021	J	`jnl`	On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, Maotong Xu
2021	J	`jnl`	On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
2021	J	`jnl`	Optimized Portfolio Contracts for Bidding the Cloud. IEEE Trans. Serv. Comput. Yang Zhang, Arnob Ghosh, Vaneet Aggarwal
2021	J	`jnl`	Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy
2021	J	`jnl`	Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Trans. Commun. Anis Elgabli, Jihong Park, Amrit Singh Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggarwal
2021	J	`jnl`	Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
2021	J	`jnl`	Quantum Entropic Causal Inference. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob
2021	—	`conf`	Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning. ACSCC Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal
2021	A	`conf`	Reinforcement Learning for Constrained Markov Decision Processes. AISTATS Ather Gattami, Qinbo Bai, Vaneet Aggarwal
2021	J	`jnl`	SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Md. Masudur Rahman, Mythra V. Balakuntala, Glebys T. Gonzalez, Mridul Agarwal, Upinder Kaur, Vishnunandan L. N. Venkatesh, Natalia Sanchez-Tamayo, Yexiang Xue, Richard M. Voyles, Vaneet Aggarwal, Juan P. Wachs
2021	J	`jnl`	Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. Entropy Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma
2021	J	`jnl`	Single-Forking of Coded Subtasks for Straggler Mitigation. IEEE/ACM Trans. Netw. Ajay Badita, Parimal Parag, Vaneet Aggarwal
2021	J	`jnl`	Stochastic Top Trans. Data Sci. Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn
2021	B	`conf`	Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2021	J	`jnl`	Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis. Comput. Biol. Medicine Naimahmed Nesaragi, Shivnarayan Patidar, Vaneet Aggarwal
2021	A	`conf`	Training spiking neural networks with a multi-agent evolutionary robotics framework. GECCO Souvik Das, Anirudh Shankar, Vaneet Aggarwal
2021	J	`jnl`	VidCloud: Joint Stall and Quality Optimization for Video Streaming over Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. Abubakr O. Al-Abbasi, Vaneet Aggarwal
2021	B	`conf`	Video-based AI Decision Support System for Lifting Risk Assessment. SMC Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu
2020	—	`conf`	A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning. CSCS Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava
2020	J	`jnl`	A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning. CoRR Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava
2020	B	`conf`	A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2020	J	`jnl`	A multi-agent evolutionary robotics framework to train spiking neural networks. CoRR Souvik Das, Anirudh Shankar, Vaneet Aggarwal
2020	—	`conf`	AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning. BuildSys Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2020	B	`conf`	An Embedded Index Code Construction Using Sub-packetization. ITW Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan
2020	J	`jnl`	An Embedded Index Code Construction Using Sub-packetization. CoRR Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan
2020	J	`jnl`	Blind Decision Making: Reinforcement Learning with Delayed Observations. CoRR Mridul Agarwal, Vaneet Aggarwal
2020	Misc	`conf`	Communication Efficient Framework for Decentralized Machine Learning. CISS Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2020	J	`jnl`	Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming. CoRR Mounssif Krouka, Anis Elgabli, Mohammed Saad ElBamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal
2020	J	`jnl`	DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2020	J	`jnl`	Designing efficient communication infrastructure in post-disaster situations with limited availability of network resources. Comput. Commun. Krishnandu Hazra, Vijay K. Shah, Simone Silvestri, Vaneet Aggarwal, Sajal K. Das, Subrata Nandi, Sujoy Saha
2020	J	`jnl`	Efficient Gaussian Process Bandits by Believing only Informative Actions. CoRR Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel
2020	—	`conf`	Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel
2020	Misc	`conf`	Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2020	J	`jnl`	FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP. IEEE Trans. Circuits Syst. Video Technol. Anis Elgabli, Vaneet Aggarwal
2020	J	`jnl`	FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. CoRR Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal
2020	—	`conf`	Freeway: An Order-less User-space Framework for Non-real-time Applications. HPCC/DSS/SmartCity Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen
2020	—	`conf`	Freeway: an order-less user-space framework for non-real-time applications. CF Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen
2020	J	`jnl`	From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
2020	J	`jnl`	From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
2020	J	`jnl`	Fundamental sampling patterns for low-rank multi-view data completion. Pattern Recognit. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2020	J	`jnl`	GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2020	J	`jnl`	Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang
2020	J	`jnl`	Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents. CoRR Arnob Ghosh, Vaneet Aggarwal
2020	J	`jnl`	Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. CoRR Qinbo Bai, Ather Gattami, Vaneet Aggarwal
2020	J	`jnl`	Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR Vaneet Aggarwal, Tian Lan
2020	J	`jnl`	Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. CoRR Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai
2020	J	`jnl`	Optimal Server Selection for Straggler Mitigation. IEEE/ACM Trans. Netw. Ajay Badita, Parimal Parag, Vaneet Aggarwal
2020	J	`jnl`	Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding. IEEE Trans. Mob. Comput. Anis Elgabli, Ke Liu, Vaneet Aggarwal
2020	J	`jnl`	Optimizing TCP Loss Recovery Performance Over Mobile Data Networks. IEEE Trans. Mob. Comput. Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, Mingyu Chen
2020	J	`jnl`	PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning. CoRR Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava
2020	J	`jnl`	Preemptive scheduling for approximate computing on heterogeneous machines: Tradeoff between weighted accuracy and makespan. Inf. Process. Lett. Vaneet Aggarwal, Ruijiu Mao
2020	Misc	`conf`	Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2020	J	`jnl`	Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. CoRR Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma
2020	—	`conf`	Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. Blockchain Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal
2020	J	`jnl`	Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. CoRR Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal
2020	A*	`conf`	Sequential addition of coded sub-tasks for straggler mitigation. INFOCOM Ajay Badita, Parimal Parag, Vaneet Aggarwal
2020	J	`jnl`	Straggler Mitigation With Tiered Gradient Codes. IEEE Trans. Commun. Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan
2020	J	`jnl`	TTLCache: Taming Latency in Erasure-Coded Storage Through TTL Caching. IEEE Trans. Netw. Serv. Manag. Abubakr O. Al-Abbasi, Vaneet Aggarwal
2020	J	`jnl`	Tiered Spectrum Measurement Markets for Joint Licensed and Unlicensed Secondary Access. IEEE Trans. Netw. Sci. Eng. Arnob Ghosh, Vaneet Aggarwal, Prakash Chakraborty
2020	J	`jnl`	Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2019	J	`jnl`	A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning. CoRR Ashutosh Singh, Abubakr O. Al-Abbasi, Vaneet Aggarwal
2019	J	`jnl`	A Low-Complexity Detection Algorithm for Uplink Massive MIMO Systems Based on Alternating Minimization. IEEE Wirel. Commun. Lett. Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell
2019	B	`conf`	A Method to Improve Consensus Averaging using Quantized ADMM. ISIT Nandan Sriranga, Chandra R. Murthy, Vaneet Aggarwal
2019	—	`conf`	A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. ICC Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell
2019	J	`jnl`	A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. CoRR Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell
2019	J	`jnl`	A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. CoRR Mridul Agarwal, Vaneet Aggarwal
2019	J	`jnl`	Coded Caching With Distributed Storage. IEEE Trans. Inf. Theory Tianqiong Luo, Vaneet Aggarwal, Borja Peleato
2019	J	`jnl`	Deadline and Buffer Constrained Knapsack Problem. IEEE Trans. Circuits Syst. Video Technol. Anis Elgabli, Vaneet Aggarwal
2019	—	`conf`	Deep Q-Learning for Chunk-based Caching in Data Processing Networks. Allerton Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal
2019	—	`conf`	Deep Reinforcement Learning Based Power Control for Wireless Multicast Systems. Allerton Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma
2019	J	`jnl`	Deep Reinforcement Learning Based Power control for Wireless Multicast Systems. CoRR Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma
2019	J	`jnl`	DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. IEEE Trans. Cogn. Commun. Netw. Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal
2019	J	`jnl`	DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal
2019	J	`jnl`	DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning. CoRR Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal
2019	J	`jnl`	Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor. IEEE Trans. Inf. Theory Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2019	J	`jnl`	Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. IEEE Trans. Cloud Comput. Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2019	J	`jnl`	Encoders and Decoders for Quantum Expander Codes Using Machine Learning. CoRR Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal
2019	J	`jnl`	Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2019	J	`jnl`	GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. CoRR Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2019	J	`jnl`	Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. ACM Trans. Model. Perform. Evaluation Comput. Syst. Eric Friedlander, Vaneet Aggarwal
2019	J	`jnl`	GiantClient: Video HotSpot for Multi-User Streaming. IEEE Trans. Circuits Syst. Video Technol. Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal
2019	J	`jnl`	Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2019	J	`jnl`	GroupCast: Preference-Aware Cooperative Video Streaming With Scalable Video Coding. IEEE/ACM Trans. Netw. Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal
2019	J	`jnl`	Hybrid algorithms for placement of virtual machines across geo-separated data centers. J. Comb. Optim. Fernando Stefanello, Vaneet Aggarwal, Luciana S. Buriol, Mauricio G. C. Resende
2019	J	`jnl`	Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming Systems. IEEE/ACM Trans. Netw. Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra
2019	J	`jnl`	Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra
2019	B	`conf`	On the Information Freshness and Tail Latency Trade-Off in Mobile Networks. GLOBECOM Abubakr O. Al-Abbasi, Ali A. Elghariani, Anis Elgabli, Vaneet Aggarwal
2019	J	`jnl`	On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem With Fully-Participated Interactions. IEEE Trans. Commun. Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan
2019	B	`conf`	Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems. ITW Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan
2019	J	`jnl`	Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems. IEEE Trans. Commun. Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan
2019	J	`jnl`	Optimal Server Selection for Straggler Mitigation. CoRR Ajay Badita, Parimal Parag, Vaneet Aggarwal
2019	J	`jnl`	Principal component analysis with tensor train subspace. Pattern Recognit. Lett. Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2019	J	`jnl`	Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. CoRR Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
2019	B	`conf`	Queuing Theoretic Models for Multicasting Under Fading. WCNC Mahadesh Panju, Ramkumar Raghu, Vaneet Aggarwal, Vinod Sharma, Ramachandran Rajesh
2019	J	`jnl`	Reinforcement Learning for Mean Field Game. CoRR Nilay Tiwari, Arnob Ghosh, Vaneet Aggarwal
2019	J	`jnl`	SmartStreamer: Preference-Aware Multipath Video Streaming Over MPTCP. IEEE Trans. Veh. Technol. Anis Elgabli, Vaneet Aggarwal
2019	J	`jnl`	Straggler Mitigation with Tiered Gradient Codes. CoRR Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan
2019	J	`jnl`	Strategic Prosumers: How to Set the Prices in a Tiered Market? IEEE Trans. Ind. Informatics Arnob Ghosh, Vaneet Aggarwal, Hong Wan
2019	J	`jnl`	TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. IEEE Trans. Netw. Serv. Manag. Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan
2019	J	`jnl`	Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. IEEE Trans. Netw. Serv. Manag. Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, Tian Lan
2019	B	`conf`	Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
2018	J	`jnl`	A Low Complexity Detection Algorithm Based on Alternating Minimization. CoRR Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell
2018	J	`jnl`	A Robust Algorithm for Tile-based 360-degree Video Streaming with Uncertain FoV Estimation. CoRR Arnob Ghosh, Vaneet Aggarwal, Feng Qian
2018	J	`jnl`	Control of Charging of Electric Vehicles Through Menu-Based Pricing. IEEE Trans. Smart Grid Arnob Ghosh, Vaneet Aggarwal
2018	J	`jnl`	Covfefe: A Computer Vision Approach For Estimating Force Exertion. CoRR Vaneet Aggarwal, Hamed Asadi, Mayank Gupta, Jae Joong Lee, Denny Yu
2018	J	`jnl`	DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming. CoRR Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen
2018	J	`jnl`	Differentiated service policy in smart warehouse automation. Int. J. Prod. Res. Zijian He, Vaneet Aggarwal, Shimon Y. Nof
2018	—	`conf`	EdgeCache: An optimized algorithm for CDN-based over-the-top video streaming services. INFOCOM Workshops Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	J	`jnl`	Energy Scheduling for Optical Channels With Energy Harvesting Devices. IEEE Trans. Green Commun. Netw. Vaneet Aggarwal, Zhe Wang, Xiaodong Wang, Muhammad Ismail
2018	J	`jnl`	Exchange of Renewable Energy among Prosumers using Blockchain with Dynamic Pricing. CoRR Arnob Ghosh, Vaneet Aggarwal, Hong Wan
2018	J	`jnl`	Family of Constrained Codes for Archival DNA Data Storage. IEEE Commun. Lett. Dixita Limbachiya, Manish K. Gupta, Vaneet Aggarwal
2018	J	`jnl`	FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP. CoRR Anis Elgabli, Vaneet Aggarwal
2018	J	`jnl`	FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen
2018	J	`jnl`	Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. CoRR Eric Friedlander, Vaneet Aggarwal
2018	J	`jnl`	GroupCast: Preference-Aware Cooperative Video Streaming with Scalable Video Coding. CoRR Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal
2018	—	`conf`	GroupCast: Preference-aware cooperative video streaming with scalable video coding. INFOCOM Workshops Anis Elgabli, Vaneet Aggarwal
2018	J	`jnl`	Joint Information Freshness and Completion Time Optimization for Vehicular Networks. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	J	`jnl`	LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming. IEEE/ACM Trans. Netw. Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen
2018	—	`conf`	Low Complexity Algorithm for Multi-path Video Streaming. SPCOM Anis Elgabli, Vaneet Aggarwal, Ke Liu
2018	—	`conf`	Mean latency optimization in erasure-coded distributed storage systems. INFOCOM Workshops Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	J	`jnl`	Menu-Based Pricing for Charging of Electric Vehicles With Vehicle-to-Grid Service. IEEE Trans. Veh. Technol. Arnob Ghosh, Vaneet Aggarwal
2018	—	`conf`	Menu-Based Pricing for Profitable Electric Vehicle Charging with Vehicle-to-Grid Service. SPCOM Arnob Ghosh, Vaneet Aggarwal
2018	J	`jnl`	On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. IEEE Signal Process. Lett. Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2018	J	`jnl`	On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. CoRR Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan
2018	J	`jnl`	Optimal Linear Broadcast Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. CoRR Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan
2018	J	`jnl`	Optimal Transmission Policies for Multi-Hop Energy Harvesting Systems. IEEE Trans. Green Commun. Netw. Milad Rezaee, Mahtab Mirmohseni, Vaneet Aggarwal, Mohammad Reza Aref
2018	J	`jnl`	Optimized Portfolio Contracts for Bidding the Cloud. CoRR Yang Zhang, Arnob Ghosh, Vaneet Aggarwal
2018	J	`jnl`	Optimized Preference-Aware Multi-path Video Streaming with Scalable Video Coding. CoRR Anis Elgabli, Ke Liu, Vaneet Aggarwal
2018	J	`jnl`	Optimized Video Streaming over Cloud: A Stall-Quality Trade-off. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	J	`jnl`	Optimizing TCP Loss Recovery Performance Over Mobile Data Networks. CoRR Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, Mingyu Chen
2018	J	`jnl`	Principal Component Analysis with Tensor Train Subspace. CoRR Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2018	B	`conf`	QoE-Aware Resource Allocation for Small Cells. GLOBECOM Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell
2018	J	`jnl`	QoE-Aware Resource Allocation for Small Cells. CoRR Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell
2018	J	`jnl`	Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. CoRR Mridul Agarwal, Vaneet Aggarwal
2018	—	`conf`	Spectrum Measurement Markets for Tiered Spectrum Access. ICC Arnob Ghosh, Randall Berry, Vaneet Aggarwal
2018	J	`jnl`	Spectrum Measurement Markets for Tiered Spectrum Access. IEEE Trans. Cogn. Commun. Netw. Arnob Ghosh, Randall A. Berry, Vaneet Aggarwal
2018	—	`conf`	Stall-Quality Tradeoff for Cloud-based Video Streaming. SPCOM Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	J	`jnl`	Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation. CoRR Ruijiu Mao, Vaneet Aggarwal, Mung Chiang
2018	—	`conf`	Stochastic non-preemptive co-flow scheduling with time-indexed relaxation. INFOCOM Workshops Ruijiu Mao, Vaneet Aggarwal, Mung Chiang
2018	J	`jnl`	Tensor Train Neighborhood Preserving Embedding. IEEE Trans. Signal Process. Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2018	J	`jnl`	Video Streaming in Distributed Erasure-Coded Storage Systems: Stall Duration Analysis. IEEE/ACM Trans. Netw. Abubakr O. Al-Abbasi, Vaneet Aggarwal
2018	A*	`conf`	Wide Compression: Tensor Ring Nets. CVPR Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
2018	J	`jnl`	Wide Compression: Tensor Ring Nets. CoRR Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
2017	J	`jnl`	A Rate Adaptation Algorithm for Tile-based 360-degree Video Streaming. CoRR Arnob Ghosh, Vaneet Aggarwal, Feng Qian
2017	B	`conf`	A characterization of sampling patterns for low-rank multi-view data completion problem. ISIT Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017	B	`conf`	A characterization of sampling patterns for low-tucker-rank tensor completion problem. ISIT Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2017	—	`conf`	An approximation of the CP-rank of a partially sampled tensor. Allerton Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017	—	`conf`	Control of charging of electric vehicles through menu-based pricing under uncertainty. ICC Arnob Ghosh, Vaneet Aggarwal
2017	J	`jnl`	Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data. CoRR Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017	A*	`conf`	Efficient Low Rank Tensor Ring Completion. ICCV Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2017	J	`jnl`	Efficient Low Rank Tensor Ring Completion. CoRR Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2017	—	`conf`	Energy scheduling for optical channels with energy harvesting devices. ICC Zhe Wang, Vaneet Aggarwal, Xiaodong Wang, Muhammad Ismail
2017	J	`jnl`	Interference management with mismatched partial channel state information. EURASIP J. Wirel. Commun. Netw. Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2017	J	`jnl`	Joint Energy-Bandwidth Allocation for Multiuser Channels With Cooperating Hybrid Energy Nodes. IEEE Trans. Veh. Technol. Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong
2017	B	`conf`	Joint Upload-Download TCP Acceleration over Mobile Data Networks. SECON Ke Liu, Vaneet Aggarwal, Ziyu Shao, Mingyu Chen
2017	—	`conf`	Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. ICC Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong
2017	J	`jnl`	On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. CoRR Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2017	J	`jnl`	On the DoF of two-way 2 × 2 × 2 relay networks with or without relay caching. IET Commun. Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2017	J	`jnl`	On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. CoRR Vaneet Aggarwal, Maotong Xu, Tian Lan, Suresh Subramaniam
2017	J	`jnl`	Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage. IEEE Trans. Netw. Serv. Manag. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Chen
2017	J	`jnl`	Rank Determination for Low-Rank Data Completion. CoRR Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017	J	`jnl`	Rank Determination for Low-Rank Data Completion. J. Mach. Learn. Res. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017	J	`jnl`	Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. IEEE/ACM Trans. Netw. Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2017	J	`jnl`	Taming Tail Latency for Erasure-coded, Distributed Storage Systems. CoRR Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan, Tian Lan
2017	A*	`conf`	Taming tail latency for erasure-coded, distributee storage systems. INFOCOM Vaneet Aggarwal, Jingxian Fan, Tian Lan
2017	J	`jnl`	Tensor Train Neighborhood Preserving Embedding. CoRR Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2017	J	`jnl`	The DoF of Two-Way Butterfly Networks. IEEE Commun. Lett. Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2017	J	`jnl`	Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. Pattern Recognit. Lett. Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2017	J	`jnl`	Video Streaming in Distributed Erasure-coded Storage Systems: Stall Duration Analysis. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal
2016	A*	`conf`	A QoS-enabled holistic optimization framework for LTE-Advanced heterogeneous networks. INFOCOM Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Rittwik Jana, Prasant Mohapatra
2016	—	`conf`	A note on information-theoretic bounds on matrix completion under union of subspaces model. Allerton Vaneet Aggarwal, Shuchin Aeron
2016	J	`jnl`	Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. IEEE Trans. Mob. Comput. Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu
2016	J	`jnl`	Antenna Placement for MIMO Localization Systems With Varying Quality of Receiver Hardware Elements. IEEE Signal Process. Lett. Vaneet Aggarwal, Lauren M. Huie
2016	J	`jnl`	Coded Caching with Distributed Storage. CoRR Tianqiong Luo, Vaneet Aggarwal, Borja Peleato
2016	J	`jnl`	Control of Charging of Electric Vehicles through Menu-Based Pricing. CoRR Arnob Ghosh, Vaneet Aggarwal
2016	J	`jnl`	Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor. CoRR Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	Differentiated latency in data center networks with erasure coded files through traffic engineering. CoRR Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2016	J	`jnl`	Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms. IEEE/ACM Trans. Netw. Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan, Gil Zussman
2016	B	`conf`	Inferring smartphone service quality using tensor methods. CNSM Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, Walter Willinger
2016	J	`jnl`	Joint Energy-Bandwidth Allocation for Multi-User Channels with Cooperating Hybrid Energy Nodes. CoRR Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong
2016	J	`jnl`	Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage. IEEE/ACM Trans. Netw. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2016	J	`jnl`	Leveraging Physical-Layer Capabilites: Distributed Scheduling in Interference Networks With Local Views. IEEE/ACM Trans. Netw. Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal
2016	J	`jnl`	Low-tubal-rank Tensor Completion using Alternating Minimization. CoRR Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	Menu-Based Pricing for Charging of Electric Vehicles with Vehicle-to-Grid Service. CoRR Arnob Ghosh, Vaneet Aggarwal
2016	J	`jnl`	On Deterministic Conditions for Subspace Clustering under Missing Data. CoRR Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
2016	B	`conf`	On deterministic conditions for subspace clustering under missing data. ISIT Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
2016	J	`jnl`	On deterministic conditions for subspace clustering under missing data. CoRR Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
2016	J	`jnl`	On the DoF of Two-way 2×2×2 Relay Networks with or without Relay Caching. CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	On the Symmetric $K$ -User Interference Channels With Limited Feedback. IEEE Trans. Inf. Theory Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	Optimal Energy-Bandwidth Allocation for Energy-Harvesting Networks in Multiuser Fading Channels. IEEE J. Sel. Areas Commun. Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	Optimal Transmission Policies for Multi-hop Energy Harvesting Systems. CoRR Milad Rezaee, Mahtab Mirmohseni, Vaneet Aggarwal, Mohammad Reza Aref
2016	J	`jnl`	Reliability of k-out-of-n Data Storage System with Deterministic Parallel and Serial Repair. CoRR Vaneet Aggarwal
2016	A	`conf`	Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. ICDCS Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2016	J	`jnl`	Sprout: A functional caching approach to minimize service latency in erasure-coded storage. CoRR Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2016	J	`jnl`	Tail Index for a Distributed Storage System with Pareto File Size Distribution. CoRR Vaneet Aggarwal, Tian Lan
2016	J	`jnl`	Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. CoRR Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
2016	Misc	`conf`	Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. ICASSP Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu
2016	J	`jnl`	The DoF of Two-way Butterfly Networks. CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2016	J	`jnl`	Transmission With Energy Harvesting Nodes in Frequency-Selective Fading Channels. IEEE Trans. Wirel. Commun. Zhe Wang, Xiaodong Wang, Vaneet Aggarwal
2015	A	`conf`	A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data Centers. GECCO Fernando Stefanello, Vaneet Aggarwal, Luciana Salete Buriol, José Fernando Gonçalves, Mauricio G. C. Resende
2015	B	`conf`	Capacity of two-way linear deterministic diamond channel. ISIT Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2015	—	`conf`	Energy harvesting communication using limited battery with efficiency. Allerton Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2015	B	`conf`	Energy-bandwidth allocation in multiple orthogonal broadcast channels with energy harvesting. ISIT Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2015	B	`conf`	Energy-subchannel allocation for energy harvesting nodes in frequency-selective channels. ISIT Zhe Wang, Xiaodong Wang, Vaneet Aggarwal
2015	J	`jnl`	Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. CoRR Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu
2015	J	`jnl`	Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model. CoRR Vaneet Aggarwal, Shuchin Aeron
2015	J	`jnl`	Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting. IEEE J. Sel. Areas Commun. Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2015	J	`jnl`	Joint Energy-Bandwidth Allocation in Multiple Broadcast Channels With Energy Harvesting. IEEE Trans. Commun. Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2015	J	`jnl`	Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs. IEEE Trans. Inf. Theory Chao Tian, Birenjith Sasidharan, Vaneet Aggarwal, Vinay A. Vaishampayan, P. Vijay Kumar
2015	A*	`conf`	Mitigating macro-cell outage in LTE-Advanced deployments. INFOCOM Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Prasant Mohapatra
2015	A	`conf`	Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. ICDCS Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2015	J	`jnl`	On the Capacity Regions of Two-Way Diamond Channels. IEEE Trans. Inf. Theory Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2015	J	`jnl`	On the Capacity of Energy Harvesting Communication Link. IEEE J. Sel. Areas Commun. Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2015	B	`conf`	Taming Latency in Data Center Networking with Erasure Coded Files. CCGRID Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2014	J	`jnl`	Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks. IEEE Trans. Veh. Technol. Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, K. K. Ramakrishnan, Christopher W. Rice, N. K. Shankaranarayanan
2014	A*	`conf`	Distributed data storage systems with opportunistic repair. INFOCOM Vaneet Aggarwal, Chao Tian, Vinay A. Vaishampayan, Yih-Farn Robin Chen
2014	A*	`conf`	Exploiting mobility in proportional fair cellular scheduling: Measurements and algorithms. INFOCOM Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan, Gil Zussman
2014	J	`jnl`	Iterative Dynamic Water-filling for Fading Multiple-Access Channels with Energy Harvesting. CoRR Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	Joint Latency and Cost Optimization for Erasure-coded Data Center Storage. CoRR Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2014	J	`jnl`	Joint latency and cost optimization for erasurecoded data center storage. SIGMETRICS Perform. Evaluation Rev. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2014	J	`jnl`	Layered, Exact-Repair Regenerating Codes Via Embedded Error Correction and Block Designs. CoRR Chao Tian, Birenjith Sasidharan, Vaneet Aggarwal, Vinay A. Vaishampayan, P. Vijay Kumar
2014	A*	`conf`	Modeling web quality-of-experience on cellular networks. MobiCom Athula Balachandran, Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Srinivasan Seshan, Shobha Venkataraman, He Yan
2014	J	`jnl`	Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part I: Optimum Algorithm & Multiple Point-to-Point Channels. CoRR Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part II: Multiple Broadcast Channels & Proportional Fairness. CoRR Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	On the Capacity Regions of Two-Way Diamond Channels. CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	On the Capacity and Degrees of Freedom Regions of Two-User MIMO Interference Channels With Limited Receiver Cooperation. IEEE Trans. Inf. Theory Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	On the Symmetric K-user Interference Channels with Limited Feedback. CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2014	—	`conf`	On the symmetric K-user linear deterministic interference channels with limited feedback. Allerton Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2014	B	`conf`	Optimal energy-bandwidth allocation for energy harvesting interference networks. ISIT Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	Power Allocation for Energy Harvesting Transmitter With Causal Information. IEEE Trans. Commun. Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	J	`jnl`	Power Allocation for Energy Harvesting Transmitter with Causal Information. CoRR Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2014	Misc	`conf`	Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements. HotMobile Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Shobha Venkataraman, He Yan
2013	A*	`conf`	Beyond interference avoidance: Distributed sub-network scheduling in wireless networks with local views. INFOCOM Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal
2013	J	`jnl`	Capacity of All Nine Models of Channel Output Feedback for the Two-User Interference Channel. IEEE Trans. Inf. Theory Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal
2013	—	`conf`	Degrees of freedom region for MIMO interference channel with limited receiver cooperation. Allerton Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2013	J	`jnl`	Distributed Data Storage Systems with Opportunistic Repair. CoRR Vaneet Aggarwal, Chao Tian, Vinay A. Vaishampayan, Yih-Farn Robin Chen
2013	J	`jnl`	Exact-Repair Regenerating Codes Via Layered Erasure Correction and Block Designs CoRR Chao Tian, Vaneet Aggarwal, Vinay A. Vaishampayan
2013	B	`conf`	Exact-repair regenerating codes via layered erasure correction and block designs. ISIT Chao Tian, Vaneet Aggarwal, Vinay A. Vaishampayan
2013	B	`conf`	Generalized degrees of freedom region for MIMO interference channel with feedback. ISIT Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2013	J	`jnl`	Leveraging Physical Layer Capabilites: Distributed Scheduling in Interference Networks with Local Views. CoRR Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal
2013	J	`jnl`	On the Capacity Region and the Generalized Degrees of Freedom Region for the MIMO Interference Channel With Feedback. IEEE Trans. Inf. Theory Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2013	J	`jnl`	On the Capacity and Degrees of Freedom Regions of MIMO Interference Channels with Limited Receiver Cooperation. CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2013	J	`jnl`	Optimizing Cloud Resources for Delivering IPTV Services Through Virtualization. IEEE Trans. Multim. Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan
2013	J	`jnl`	Performance of a Random-Access Wireless Network With a Mix of Full- and Half-Duplex Stations. IEEE Commun. Lett. Vaneet Aggarwal, N. K. Shankaranarayanan
2013	J	`jnl`	Performance of a random-access wireless network with a mix of full- and half-duplex stations CoRR Vaneet Aggarwal, N. K. Shankaranarayanan
2013	—	`conf`	Renewable energy scheduling for fading channels with maximum power constraint. Allerton Zhe Wang, Vaneet Aggarwal, Xiaodong Wang
2012	J	`jnl`	Achieving Approximate Soft Clustering in Data Streams CoRR Vaneet Aggarwal, Shankar Krishnan
2012	Misc	`conf`	Aligned precoder designs for interference channels based on chordal distance. CISS Khawla Alnajjar, Vaneet Aggarwal, Vinay A. Vaishampayan, Xiaodong Wang
2012	Misc	`conf`	Datacenter net profit optimization with deadline dependent pricing. CISS Wei Wang, Peng Zhang, Tian Lan, Vaneet Aggarwal
2012	J	`jnl`	Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks CoRR Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, K. K. Ramakrishnan, Christopher W. Rice, N. K. Shankaranarayanan
2012	B	`conf`	Full- or half-duplex? A capacity analysis with bounded radio resources. ITW Vaneet Aggarwal, Melissa Duarte, Ashutosh Sabharwal, N. K. Shankaranarayanan
2012	J	`jnl`	On the Capacity Region and the Generalized Degrees of Freedom Region for MIMO Interference Channel with Feedback CoRR Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
2012	Misc	`conf`	Optimizing cloud resources for delivering IPTV services through virtualization. COMSNETS Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan
2012	J	`jnl`	Sum Capacity of Interference Channels With a Local View: Impact of Distributed Decisions. IEEE Trans. Inf. Theory Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal
2012	—	`conf`	Writing on insertion paper. ICC Vaneet Aggarwal
2011	J	`jnl`	Bits About the Channel: Multiround Protocols for Two-Way Fading Channels. IEEE Trans. Inf. Theory Vaneet Aggarwal, Ashutosh Sabharwal
2011	C	`conf`	Characterizing fairness for 3G wireless networks. LANMAN Vaneet Aggarwal, Rittwik Jana, Jeffrey Pang, K. K. Ramakrishnan, N. K. Shankaranarayanan
2011	J	`jnl`	Effective Relaying in Two-user Interference Channel with Different Models of Channel Output Feedback CoRR Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal
2011	—	`conf`	Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling. Allerton Kanes Sutuntivorakoon, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2011	J	`jnl`	On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. IEEE Trans. Inf. Theory Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2011	—	`conf`	Scalable geocast for vehicular networks (poster). VNC Rajesh Krishna Panta, Rittwik Jana, Robert J. Hall, Josh Auzins, Vaneet Aggarwal
2011	J	`jnl`	The Effect of Eavesdroppers on Network Connectivity: A Secrecy Graph Approach. IEEE Trans. Inf. Forensics Secur. Satashu Goel, Vaneet Aggarwal, Aylin Yener, A. Robert Calderbank
2011	J	`jnl`	Wireless Network Coding with Local Network Views: Coded Layer Scheduling CoRR Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	Misc	`conf`	How (information theoretically) optimal are distributed decisions? CISS Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	B	`conf`	Modeling location uncertainty for eavesdroppers: A secrecy graph approach. ISIT Satashu Goel, Vaneet Aggarwal, Aylin Yener, A. Robert Calderbank
2010	B	`conf`	Normalized sum-capacity of interference networks with partial information. ISIT Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	J	`jnl`	On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. CoRR Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	J	`jnl`	On the Capacity of Multi-Hop Wireless Networks with Partial Network Knowledge CoRR Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	—	`conf`	On the capacity of multi-hop wireless networks with partial network knowledge. Allerton Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2010	J	`jnl`	Power-controlled feedback and training for two-way MIMO channels. IEEE Trans. Inf. Theory Vaneet Aggarwal, Ashutosh Sabharwal
2010	B	`conf`	Sum capacity of general deterministic interference channel with channel output feedback. ISIT Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal
2010	J	`jnl`	Volume thresholds for quantum fault tolerance. Quantum Inf. Process. Vaneet Aggarwal, A. Robert Calderbank, Gerald Gilbert, Yaakov S. Weinstein
2009	J	`jnl`	Bits About the Channel: Multi-round Protocols for Two-way Fading Channels CoRR Vaneet Aggarwal, Ashutosh Sabharwal
2009	J	`jnl`	Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel. IEEE Trans. Wirel. Commun. Amir Bennatan, Vaneet Aggarwal, Yiyue Wu, A. Robert Calderbank, Jakob Hoydis, Aik Chindapol
2009	J	`jnl`	Distributed Universally Optimal Strategies for Interference Channels with Partial Message Passing CoRR Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal
2009	—	`conf`	Distributed universally optimal strategies for interference channels with partial message passing. Allerton Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal
2009	B	`conf`	Engineering fault tolerance for realistic quantum systems via the full error dynamics of quantum codes. ISIT A. Robert Calderbank, Gerald Gilbert, Yaakov S. Weinstein, Vaneet Aggarwal
2009	—	`conf`	Enhanced CDMA communications using compressed-sensing reconstruction methods. Allerton Vaneet Aggarwal, Lorne Applebaum, Amir Bennatan, A. Robert Calderbank, Stephen D. Howard, Stephen J. Searle
2009	J	`jnl`	Ergodic Layered Erasure One-Sided Interference Channels CoRR Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2009	B	`conf`	Information secrecy from multiple eavesdroppers in orthogonal relay channels. ISIT H. Vincent Poor, Lalitha Sankar, Vaneet Aggarwal, A. Robert Calderbank
2009	—	`conf`	Interference networks with local view: A distributed optimization approach. Allerton Jun Xiao, Vaneet Aggarwal, Ashutosh Sabharwal, Youjian Liu
2009	B	`conf`	Message passing in distributed wireless networks. ISIT Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal
2009	J	`jnl`	On Channel Output Feedback in Deterministic Interference Channels CoRR Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal
2009	J	`jnl`	On maximizing coverage in Gaussian relay channels. IEEE Trans. Inf. Theory Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank
2009	J	`jnl`	Power-Controlled Feedback and Training for Two-way MIMO Channels CoRR Vaneet Aggarwal, Ashutosh Sabharwal
2009	J	`jnl`	Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels. EURASIP J. Wirel. Commun. Netw. Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2009	J	`jnl`	Sum-capacity of Interference Channels with a Local View: Impact of Distributed Decisions CoRR Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal
2009	A*	`conf`	The effectiveness of intelligent scheduling for multicast video-on-demand. ACM Multimedia Vaneet Aggarwal, A. Robert Calderbank, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Fang Yu
2009	B	`conf`	Wiretap channel type II with an active eavesdropper. ISIT Vaneet Aggarwal, Lifeng Lai, A. Robert Calderbank, H. Vincent Poor
2008	J	`jnl`	Boolean Functions, Projection Operators, and Quantum Error Correcting Codes. IEEE Trans. Inf. Theory Vaneet Aggarwal, A. Robert Calderbank
2008	J	`jnl`	Distributed Joint Source-Channel Coding for arbitrary memoryless correlated sources and Source coding for Markov correlated sources using LDPC codes CoRR Vaneet Aggarwal
2008	J	`jnl`	Diversity Order Gain with Noisy Feedback in Multiple Access Channels CoRR Vaneet Aggarwal, Ashutosh Sabharwal
2008	B	`conf`	Diversity order gain with noisy feedback in multiple access channels. ISIT Vaneet Aggarwal, Ashutosh Sabharwal
2008	J	`jnl`	On Maximizing Coverage in Gaussian Relay Networks CoRR Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank
2008	B	`conf`	On multiple access channels with asymmetric feedback. ISIT Vaneet Aggarwal, Ashutosh Sabharwal
2008	J	`jnl`	Performance of multiple access channels with asymmetric feedback. IEEE J. Sel. Areas Commun. Vaneet Aggarwal, Ashutosh Sabharwal
2008	J	`jnl`	Secrecy capacity of a class of orthogonal relay eavesdropper channels CoRR Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2008	J	`jnl`	Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information. EURASIP J. Wirel. Commun. Netw. Vaneet Aggarwal, Ashutosh Sabharwal
2008	J	`jnl`	Two Models for Noisy Feedback in MIMO Channels CoRR Vaneet Aggarwal, Gajanana Krishna, Srikrishna Bhashyam, Ashutosh Sabharwal
2008	—	`conf`	Two models for noisy feedback in MIMO channels. ACSCC Vaneet Aggarwal, Gajanana Krishna, Srikrishna Bhashyam, Ashutosh Sabharwal
2007	B	`conf`	Boolean Functions, Projection Operators and Quantum Error Correcting Codes. ISIT Vaneet Aggarwal, A. Robert Calderbank
2007	B	`conf`	On Maximizing Coverage in Gaussian Relay Networks. ITW Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank
2006	J	`jnl`	Boolean Functions, Projection Operators and Quantum Error Correcting Codes CoRR Vaneet Aggarwal, A. Robert Calderbank