Sanjay Shakkottai

285 papers A* 74A 6B 16C 1Misc 6Journal 155Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnCoder: Anchored Code Generation via Discrete Diffusion Models. CoRR Anton Xue, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2026	J	`jnl`	EntRGi: Entropy Aware Reward Guidance for Diffusion Language Models. CoRR Atula Tejaswi, Litu Rout, Constantine Caramanis, Sanjay Shakkottai, Sujay Sanghavi
2026	J	`jnl`	Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance. CoRR Jacob L. Block, Mehryar Mohri, Aryan Mokhtari, Sanjay Shakkottai
2025	J	`jnl`	Anchored Diffusion Language Model. CoRR Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2025	J	`jnl`	Asymptotically-Optimal Gaussian Bandits with Side Observations. CoRR Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai
2025	J	`jnl`	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo. CoRR Advait Parulekar, Litu Rout, Karthikeyan Shanmugam, Sanjay Shakkottai
2025	J	`jnl`	Fine-Tuning Diffusion Models via Intermediate Distribution Shaping. CoRR Gautham Govind Anil, Shaan Ul Haque, Nithish Kannen, Dheeraj Nagaraj, Sanjay Shakkottai, Karthikeyan Shanmugam
2025	A*	`conf`	Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. ICLR Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis
2025	J	`jnl`	Machine Unlearning under Overparameterization. CoRR Jacob L. Block, Aryan Mokhtari, Sanjay Shakkottai
2025	A*	`conf`	RB-Modulation: Training-Free Stylization using Reference-Based Modulation. ICLR Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2025	A*	`conf`	Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. ICLR Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2025	J	`jnl`	Test-Time Anchoring for Discrete Diffusion Posterior Sampling. CoRR Litu Rout, Andreas Lugmayr, Yasamin Jafarian, Srivatsan Varadharajan, Constantine Caramanis, Sanjay Shakkottai, Ira Kemelmacher-Shlizerman
2024	J	`jnl`	A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation. Oper. Res. Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2024	J	`jnl`	Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings. IEEE Trans. Autom. Control. Arghyadip Roy, Sanjay Shakkottai, R. Srikant
2024	J	`jnl`	Bandits with Mean Bounds. Trans. Mach. Learn. Res. Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
2024	J	`jnl`	Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. ACM Trans. Model. Perform. Evaluation Comput. Syst. Nihal Sharma, Rajat Sen, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
2024	A*	`conf`	Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CVPR Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2024	A*	`conf`	CIPAT: Latent-resilient Toolkit for Performance Impact Prediction due to Configuration Tuning. MobiCom Kartik Patel, Changhan Ge, Ajay Mahimkar, Sanjay Shakkottai, Yusef Shaqalle
2024	J	`jnl`	Constrained Posterior Sampling: Time Series Generation with Hard Constraints. CoRR Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep P. Chinchali
2024	A*	`conf`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. NeurIPS Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2024	J	`jnl`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2024	A*	`conf`	Predicting the Performance of Cellular Networks: A Latent-resilient Approach. MobiCom Kartik Patel, Changhan Ge, Ajay Mahimkar, Sanjay Shakkottai, Yusef Shaqalle
2024	J	`jnl`	Provable Meta-Learning with Low-Rank Adaptations. CoRR Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2024	A*	`conf`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2024	J	`jnl`	RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2024	J	`jnl`	Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. CoRR Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2023	J	`jnl`	A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai
2023	J	`jnl`	Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
2023	A*	`conf`	Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2023	J	`jnl`	Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai
2023	A*	`conf`	Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. ICML Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant
2023	J	`jnl`	Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. CoRR Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant
2023	A*	`conf`	Darwin: Flexible Learning-based CDN Caching. SIGCOMM Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman
2023	A*	`conf`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2023	J	`jnl`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2023	Misc	`conf`	Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. ICASSP Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury
2023	J	`jnl`	Multiagent Low-Dimensional Linear Bandits. IEEE Trans. Autom. Control. Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
2023	A*	`conf`	PAC Generalization via Invariant Representations. ICML Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai
2023	J	`jnl`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2023	—	`conf`	Robust Multi-Agent Bandits Over Undirected Graphs. SIGMETRICS (Abstracts) Daniel Vial, Sanjay Shakkottai, R. Srikant
2023	A*	`conf`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai
2023	J	`jnl`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
2022	A*	`conf`	Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai
2022	B	`conf`	Bandit Learning-based Online User Clustering and Selection for Cellular Networks. WiOpt Isfar Tariq, Kartik Patel, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai
2022	A*	`conf`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	J	`jnl`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	—	`conf`	How Does the Task Landscape Affect MAML Performance? CoLLAs Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2022	A	`conf`	Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2022	J	`jnl`	Learning Certifiably Robust Controllers Using Fragile Perception. CoRR Dawei Sun, Negin Musavi, Geir E. Dullerud, Sanjay Shakkottai, Sayan Mitra
2022	—	`conf`	Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	J	`jnl`	Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
2022	A*	`conf`	Linear Bandit Algorithms with Sublinear Time Complexity. ICML Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
2022	A*	`conf`	MAML and ANIL Provably Learn Representations. ICML Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2022	J	`jnl`	MAML and ANIL Provably Learn Representations. CoRR Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2022	J	`jnl`	Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback. IEEE/ACM Trans. Netw. Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai
2022	A*	`conf`	Minimax Regret for Cascading Bandits. NeurIPS Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
2022	J	`jnl`	Minimax Regret for Cascading Bandits. CoRR Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
2022	A*	`conf`	Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. NeurIPS Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	J	`jnl`	Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. CoRR Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2022	J	`jnl`	Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks. SIGMETRICS Perform. Evaluation Rev. Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai
2022	B	`conf`	Online learning for multi-agent based resource allocation in weakly coupled wireless systems. MobiHoc Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai
2022	J	`jnl`	PAC Generalization via Invariant Representations. CoRR Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai
2022	A*	`conf`	Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2022	J	`jnl`	Robust Multi-Agent Bandits Over Undirected Graphs. CoRR Daniel Vial, Sanjay Shakkottai, R. Srikant
2022	A*	`conf`	The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward
2022	J	`jnl`	The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward
2021	J	`jnl`	A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. CoRR Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2021	J	`jnl`	Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. IEEE/ACM Trans. Netw. Isfar Tariq, Rajat Sen, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai
2021	A*	`conf`	Combinatorial Blocking Bandits with Stochastic Delays. ICML Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
2021	J	`jnl`	Combinatorial Blocking Bandits with Stochastic Delays. CoRR Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
2021	A	`conf`	Contextual Blocking Bandits. AISTATS Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2021	J	`jnl`	Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? CoRR Steven Gutstein, Brent Lance, Sanjay Shakkottai
2021	J	`jnl`	Episodic Bandits with Stochastic Experts. CoRR Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
2021	A*	`conf`	Exploiting Shared Representations for Personalized Federated Learning. ICML Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2021	J	`jnl`	Exploiting Shared Representations for Personalized Federated Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2021	A*	`conf`	Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. NeurIPS Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2021	J	`jnl`	Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. CoRR Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2021	—	`conf`	HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization. CCTA Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai
2021	J	`jnl`	Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2021	B	`conf`	Job Dispatching Policies for Queueing Systems with Unknown Service Rates. MobiHoc Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai
2021	J	`jnl`	Job Dispatching Policies for Queueing Systems with Unknown Service Rates. CoRR Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai
2021	J	`jnl`	Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. Oper. Res. Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2021	J	`jnl`	Linear Bandit Algorithms with Sublinear Time Complexity. CoRR Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
2021	B	`conf`	MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. MobiHoc Yi Zhang, Soumya Basu, Sanjay Shakkottai, Robert W. Heath Jr.
2021	J	`jnl`	Online learning for hierarchical scheduling to support network slicing in cellular networks. Perform. Evaluation Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai
2021	J	`jnl`	Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2021	J	`jnl`	Robust Multi-Agent Bandits Over Undirected Graphs. Proc. ACM Meas. Anal. Comput. Syst. Daniel Vial, Sanjay Shakkottai, R. Srikant
2021	B	`conf`	Robust Multi-Agent Multi-Armed Bandits. MobiHoc Daniel Vial, Sanjay Shakkottai, R. Srikant
2020	A*	`conf`	Applications of Common Entropy for Causal Inference. NeurIPS Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
2020	J	`jnl`	Contextual Blocking Bandits. CoRR Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
2020	J	`jnl`	Distribution-Agnostic Model-Agnostic Meta-Learning. CoRR Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2020	A*	`conf`	Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes. NeurIPS Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2020	J	`jnl`	Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. CoRR Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
2020	J	`jnl`	Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. CoRR Arghyadip Roy, Sanjay Shakkottai, R. Srikant
2020	J	`jnl`	Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. IEEE/ACM Trans. Netw. Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai
2020	B	`conf`	Meta-Scheduling for the Wireless Downlink through Learning with Bandit Feedback. WiOpt Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai
2020	A*	`conf`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2020	J	`jnl`	Multi-Agent Low-Dimensional Linear Bandits. CoRR Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
2020	J	`jnl`	One-bit feedback is sufficient for upper confidence bound policies. CoRR Daniel Vial, Sanjay Shakkottai, R. Srikant
2020	J	`jnl`	Robust Multi-Agent Multi-Armed Bandits. CoRR Daniel Vial, Sanjay Shakkottai, R. Srikant
2020	—	`conf`	Social Learning in Multi Agent Multi Armed Bandits. SIGMETRICS (Abstracts) Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2020	J	`jnl`	Stochastic Linear Bandits with Protected Subspace. CoRR Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai
2020	A*	`conf`	Task-Robust Model-Agnostic Meta-Learning. NeurIPS Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2020	A	`conf`	The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. AISTATS Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2020	J	`jnl`	The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. CoRR Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2020	J	`jnl`	Warm Starting Bandits with Side Information from Confounded Data. CoRR Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
2020	J	`jnl`	Why Does MAML Outperform ERM? An Optimization Perspective. CoRR Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2019	A*	`conf`	Blocking Bandits. NeurIPS Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
2019	J	`jnl`	Blocking Bandits. CoRR Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
2019	—	`conf`	Importance Weighted Generative Networks. ECML/PKDD (2) Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
2019	J	`jnl`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2019	A	`conf`	Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. AISTATS Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2019	A*	`conf`	Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. INFOCOM Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai
2019	J	`jnl`	Optimistic Optimization for Statistical Model Checking with Regret Bounds. CoRR Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai
2019	A*	`conf`	Pareto Optimal Streaming Unsupervised Classification. ICML Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai
2019	B	`conf`	Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems. MobiHoc Yi Zhang, Kartik Patel, Sanjay Shakkottai, Robert W. Heath Jr.
2019	J	`jnl`	Social Learning in Multi Agent Multi Armed Bandits. CoRR Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2019	J	`jnl`	Social Learning in Multi Agent Multi Armed Bandits. Proc. ACM Meas. Anal. Comput. Syst. Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2019	A*	`conf`	Switching Constrained Max-Weight Scheduling for Wireless Networks. INFOCOM Soumya Basu, Sanjay Shakkottai
2018	J	`jnl`	Adaptive TTL-Based Caching for Content Delivery. IEEE/ACM Trans. Netw. Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman
2018	J	`jnl`	Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs. IEEE/ACM Trans. Netw. Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai
2018	J	`jnl`	Augmenting Max-Weight with Explicit Learning for Wireless Scheduling with Switching Costs. CoRR Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai
2018	A	`conf`	Contextual Bandits with Stochastic Experts. AISTATS Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
2018	J	`jnl`	Contextual Bandits with Stochastic Experts. CoRR Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
2018	J	`jnl`	Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2018	J	`jnl`	Entropic Latent Variable Discovery. CoRR Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
2018	J	`jnl`	Importance weighted generative networks. CoRR Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
2018	A*	`conf`	Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. INFOCOM Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai
2018	A*	`conf`	Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. ICML Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2018	J	`jnl`	Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. CoRR Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2018	—	`conf`	On Learning the cμ Rule in Single and Parallel Server Networks. Allerton Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai
2018	J	`jnl`	On Learning the cμ Rule: Single and Multiserver Settings. CoRR Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai
2018	J	`jnl`	Searching for a Single Community in a Graph. CoRR Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2018	J	`jnl`	Searching for a Single Community in a Graph. ACM Trans. Model. Perform. Evaluation Comput. Syst. Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2018	J	`jnl`	The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. CoRR Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari
2017	—	`conf`	Adaptive TTL-Based Caching for Content Delivery. SIGMETRICS (Abstracts) Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman
2017	J	`jnl`	Adaptive TTL-Based Caching for Content Delivery. CoRR Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman
2017	A*	`conf`	Augmenting max-weight with explicit learning for wireless scheduling with switching costs. INFOCOM Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Sanjay Shakkottai, Rajesh Sundaresan
2017	J	`jnl`	Causal Best Intervention Identification via Importance Sampling. CoRR Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	A	`conf`	Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Exploiting Latent Attack Semantics for Intelligent Malware Detection. CoRR Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari
2017	A*	`conf`	Identifying Best Interventions through Online Importance Sampling. ICML Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. CoRR Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai
2017	—	`conf`	Model-Powered Conditional Independence Test. NIPS Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Model-Powered Conditional Independence Test. CoRR Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Scheduling in Densified Networks: Algorithms and Performance. IEEE/ACM Trans. Netw. Sharayu Moharir, Subhashini Krishnasamy, Sanjay Shakkottai
2017	J	`jnl`	The Search Problem in Mixture Models. J. Mach. Learn. Res. Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai
2016	J	`jnl`	Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh
2016	J	`jnl`	Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
2016	J	`jnl`	Online Collaborative Filtering on Graphs. Oper. Res. Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai
2016	J	`jnl`	Online Load Balancing Under Graph Constraints. IEEE/ACM Trans. Netw. Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai
2016	—	`conf`	Regret of Queueing Bandits. NIPS Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2016	J	`jnl`	Regret of Queueing Bandits. CoRR Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2016	J	`jnl`	Scheduling Storms and Streams in the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. Javad Ghaderi, Sanjay Shakkottai, R. Srikant
2016	A*	`conf`	Searching For A Single Community in a Graph. SIGMETRICS Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2016	J	`jnl`	The Search Problem in Mixture Models. CoRR Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai
2015	A*	`conf`	Detecting Sponsored Recommendations. SIGMETRICS Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2015	J	`jnl`	Detecting Sponsored Recommendations. CoRR Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2015	J	`jnl`	Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	J	`jnl`	Improved Greedy Algorithms for Learning Graphical Models. IEEE Trans. Inf. Theory Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2015	A*	`conf`	Local detection of infections in heterogeneous networks. INFOCOM Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	A*	`conf`	Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
2015	J	`jnl`	MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks. IEEE/ACM Trans. Netw. Sharayu Moharir, Sanjay Shakkottai
2015	A*	`conf`	Scheduling Storms and Streams in the Cloud. SIGMETRICS Javad Ghaderi, Sanjay Shakkottai, Rayadurgam Srikant
2015	J	`jnl`	Scheduling Storms and Streams in the Cloud. CoRR Javad Ghaderi, Sanjay Shakkottai, R. Srikant
2015	J	`jnl`	Serving content with unknown demand: the high-dimensional regime. Queueing Syst. Theory Appl. Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai
2015	B	`conf`	Spectrum sharing and scheduling in D2D-enabled dense cellular networks. WiOpt Subhashini Krishnasamy, Sanjay Shakkottai
2015	J	`jnl`	The Behavior of Epidemics under Bounded Susceptibility. CoRR Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai
2015	J	`jnl`	Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2014	A*	`ed.`	ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014, Austin, TX, USA, June 16-20, 2014 SIGMETRICS Sujay Sanghavi, Sanjay Shakkottai, Marc Lelarge, Bianca Schroeder
2014	J	`jnl`	Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
2014	A*	`conf`	Epidemic thresholds with external agents. INFOCOM Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai
2014	J	`jnl`	Localized epidemic detection in networks with overwhelming noise. CoRR Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2014	Misc	`conf`	Message from TPC chairs. COMSNETS Neelesh B. Mehta, Ramachandran Ramjee, Sanjay Shakkottai
2014	J	`jnl`	Online Collaborative-Filtering on Graphs. CoRR Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai
2014	—	`conf`	Overlap graph clustering via successive removal. Allerton Avik Ray, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai
2014	J	`jnl`	Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime. IEEE Trans. Inf. Theory Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant
2014	—	`conf`	Scheduling in densified networks: Algorithms and performance. Allerton Sharayu Moharir, Subhashini Krishnasamy, Sanjay Shakkottai
2014	J	`jnl`	Serving Content with Unknown Demand: the High-Dimensional Regime. CoRR Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai
2014	A*	`conf`	Serving content with unknown demand: the high-dimensional regime. SIGMETRICS Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai
2014	A*	`conf`	The behavior of epidemics under bounded susceptibility. SIGMETRICS Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai
2014	A*	`conf`	Topic modeling from network spread. SIGMETRICS Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2014	J	`jnl`	Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	B	`conf`	Detecting epidemics using highly noisy data. MobiHoc Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	J	`jnl`	Distinguishing Infections on Different Graph Topologies. CoRR Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	J	`jnl`	Epidemic Thresholds with External Agents. CoRR Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai
2013	J	`jnl`	FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks. IEEE/ACM Trans. Netw. Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic
2013	A*	`conf`	MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks. INFOCOM Sharayu Moharir, Sanjay Shakkottai
2013	J	`jnl`	On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2013	J	`jnl`	On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	A*	`conf`	Online load balancing under graph constraints. SIGMETRICS Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai
2012	J	`jnl`	Epidemic Spreading with External Agents CoRR Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
2012	—	`conf`	Greedy learning of graphical models with small girth. Allerton Conference Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
2012	J	`jnl`	Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks. IEEE/ACM Trans. Netw. Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant
2012	A*	`conf`	Low-delay wireless scheduling with partial channel-state information. INFOCOM Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	J	`jnl`	Many Flows Asymptotics for SMART Scheduling Policies. IEEE Trans. Autom. Control. Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
2012	A*	`conf`	Network forensics: random infection vs spreading epidemic. SIGMETRICS Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	J	`jnl`	On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	J	`jnl`	On distributed scheduling with heterogeneously delayed network-state information. Queueing Syst. Theory Appl. Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
2012	—	`conf`	On identifying the causative network of an epidemic. Allerton Conference Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	J	`jnl`	On optimizing CSMA for wide area ad hoc networks. Queueing Syst. Theory Appl. François Baccelli, Junyi Li, Thomas J. Richardson, Sanjay Shakkottai, Sundar Subramanian, Xinzhou Wu
2012	J	`jnl`	On the Effect of Channel Fading on Greedy Scheduling CoRR Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai
2012	J	`jnl`	On the Role of Mobility for Multi-message Gossip CoRR Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2012	Misc	`conf`	On the design of device-to-device autonomous discovery. COMSNETS François Baccelli, Nilesh Khude, Rajiv Laroia, Junyi Li, Tom Richardson, Sanjay Shakkottai, Saurabha Tavildar, Xinzhou Wu
2012	A*	`conf`	On the effect of channel fading on greedy scheduling. INFOCOM Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai
2012	J	`jnl`	Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty. IEEE Trans. Autom. Control. Lei Ying, Sanjay Shakkottai
2012	B	`ed.`	The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc '12, Hilton Head, SC, USA, June 11-14, 2012 MobiHoc Asis Nasipuri, Yih-Chun Hu, Sanjay Shakkottai
2012	J	`jnl`	Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks. IEEE/ACM Trans. Netw. Jung Ryu, Lei Ying, Sanjay Shakkottai
2012	J	`jnl`	Towards a queueing-based framework for in-network function computation. Queueing Syst. Theory Appl. Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai
2011	J	`jnl`	On Efficient Data Transport with Mobile Carriers. IEEE J. Sel. Areas Commun. Jung Ryu, Lei Ying, Sanjay Shakkottai
2011	J	`jnl`	On Sharing Viral Video over an Ad Hoc Wireless Network CoRR Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai
2011	J	`jnl`	On Throughput Optimality With Delayed Network-State Information. IEEE Trans. Inf. Theory Lei Ying, Sanjay Shakkottai
2011	J	`jnl`	On combining shortest-path and back-pressure routing over multihop wireless networks. IEEE/ACM Trans. Netw. Lei Ying, Sanjay Shakkottai, Aneesh Reddy, Shihuan Liu
2011	B	`conf`	On file sharing over a wireless social network. ISIT Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai
2011	B	`conf`	On optimizing CSMA for wide area ad-hoc networks. WiOpt François Baccelli, Junyi Li, Thomas J. Richardson, Sundar Subramanian, Xinzhou Wu, Sanjay Shakkottai
2011	A*	`conf`	Random mobility and the spread of infection. INFOCOM Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai
2011	A*	`conf`	Scheduling for small delay in multi-rate multi-channel wireless networks. INFOCOM Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant
2011	A*	`conf`	Sharing multiple messages over mobile networks. INFOCOM Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
2011	J	`jnl`	Towards a Queueing-Based Framework for In-Network Function Computation CoRR Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai
2011	B	`conf`	Towards a queueing-based framework for in-network function computation. ISIT Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai
2010	A*	`conf`	Back-Pressure Routing for Intermittently Connected Networks. INFOCOM Jung Ryu, Lei Ying, Sanjay Shakkottai
2010	A*	`conf`	Back-pressure routing and rate control for ICNs. MobiCom Jung Ryu, Vidur Bhargava, Nick Paine, Sanjay Shakkottai
2010	J	`jnl`	Buffer Asymptotics for Coding Over Networks. IEEE Trans. Inf. Theory Sandeep Bhadra, Sanjay Shakkottai
2010	—	`conf`	FlashLinQ: A synchronous distributed scheduler for peer-to-peer ad hoc networks. Allerton Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic
2010	J	`jnl`	Geographic routing with limited information in sensor networks. IEEE Trans. Inf. Theory Sundar Subramanian, Sanjay Shakkottai
2010	—	`conf`	Greedy learning of Markov network structure. Allerton Praneeth Netrapalli, Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai
2010	A*	`conf`	Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks. INFOCOM Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant
2010	J	`jnl`	MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns. IEEE/ACM Trans. Netw. Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
2010	A*	`conf`	On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks. INFOCOM V. J. Venkataramanan, Xiaojun Lin, Lei Ying, Sanjay Shakkottai
2010	—	`conf`	Wireless scheduling with heterogeneously delayed network-state information. Allerton Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
2009	A*	`conf`	On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks. INFOCOM Lei Ying, Sanjay Shakkottai, Aneesh Reddy
2009	J	`jnl`	On the Elasticity of Marking Functions in an Integrated Network. IEEE Trans. Autom. Control. Yung Yi, Sanjay Shakkottai
2009	A*	`conf`	Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility. INFOCOM Chris Milling, Sundar Subramanian, Sanjay Shakkottai, Randall Berry
2009	A*	`conf`	Scheduling in Mobile Ad Hoc Networks with Topology and Channel-State Uncertainty. INFOCOM Lei Ying, Sanjay Shakkottai
2009	—	`conf`	Scheduling in multi-channel wireless networks: rate function optimality in the small-buffer regime. SIGMETRICS/Performance Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant
2009	—	`conf`	TCP with feed-forward source coding for wireless downlink networks. Allerton Jung Ryu, Sandeep Bhadra, Sanjay Shakkottai
2008	J	`jnl`	Broadcasting in sensor networks: the role of local information. IEEE/ACM Trans. Netw. Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis
2008	J	`jnl`	Communication Through Jamming Over a Slotted ALOHA Channel. IEEE Trans. Inf. Theory Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai, Sriram Vishwanath
2008	J	`jnl`	Communication Through Jamming over a Slotted ALOHA Channel CoRR Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai, Sriram Vishwanath
2008	Misc	`conf`	Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization. CISS Aneesh Reddy, Sanjay Shakkottai, Lei Ying
2008	J	`jnl`	Effective Capacity and QoS for Wireless Scheduling. IEEE Trans. Autom. Control. Sanjay Shakkottai
2008	A*	`conf`	Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic. INFOCOM Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta
2008	J	`jnl`	Rethinking information theory for mobile ad hoc networks. IEEE Commun. Mag. Jeffrey G. Andrews, Sanjay Shakkottai, Robert W. Heath Jr., Nihar Jindal, Martin Haenggi, Randy Berry, Dongning Guo, Michael J. Neely, Steven Weber, Syed Ali Jafar, Aylin Yener
2007	—	`conf`	Balancing performance and fairness using finite-SRPT. CDC Chang-Woo Yang, Sanjay Shakkottai
2007	J	`jnl`	FluNet: A hybrid internet simulator for fast queue regimes. Comput. Networks Yung Yi, Sanjay Shakkottai
2007	J	`jnl`	Hop-by-hop congestion control over a wireless multi-hop network. IEEE/ACM Trans. Netw. Yung Yi, Sanjay Shakkottai
2007	A*	`conf`	Oblivious Routing with Mobile Fusion Centers over a Sensor Network. INFOCOM Devavrat Shah, Sanjay Shakkottai
2007	A*	`conf`	On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic. INFOCOM Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta
2007	A*	`conf`	On Optimal MAC Scheduling With Physical Interference. INFOCOM Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
2007	J	`jnl`	Rethinking Information Theory for Mobile Ad Hoc Networks CoRR Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, Randall Berry, Syed Ali Jafar, Dongning Guo, Sanjay Shakkottai, Robert W. Heath Jr., Michael J. Neely, Steven Weber, Aylin Yener
2007	B	`conf`	Scaling Bounds for Function Computation over Large Networks. ISIT Sundar Subramanian, Piyush Gupta, Sanjay Shakkottai
2006	J	`jnl`	Asymptotic Evaluation of Delay in the SRPT Scheduler. IEEE Trans. Autom. Control. Chang-Woo Yang, Sanjay Shakkottai
2006	A*	`conf`	Broadcasting in Sensor Networks: The Role of Local Information. INFOCOM Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis
2006	Misc	`conf`	Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling. CISS Supratim Deb, Devavrat Shah, Sanjay Shakkottai
2006	A*	`conf`	Looking at Large Networks: Coding vs. Queueing. INFOCOM Sandeep Bhadra, Sanjay Shakkottai
2006	J	`jnl`	Min-Cost Selfish Multicast With Network Coding. IEEE Trans. Inf. Theory Sandeep Bhadra, Sanjay Shakkottai, Piyush Gupta
2006	B	`conf`	On Network Coding for Interference Networks. ISIT Sandeep Bhadra, Piyush Gupta, Sanjay Shakkottai
2006	J	`jnl`	Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation. IEEE Trans. Autom. Control. Wei Wu, Ari Arapostathis, Sanjay Shakkottai
2006	—	`conf`	Tail asymptotics for policies favoring short jobs in a many-flows regime. SIGMETRICS/Performance Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
2006	J	`jnl`	Time-scale decomposition and equivalent rate-based marking. IEEE/ACM Trans. Netw. Yung Yi, Supratim Deb, Sanjay Shakkottai
2006	—	`conf`	Transmit Precoding for the Multiple Antenna Broadcast Channel. VTC Spring Manish Airy, Sandeep Bhadra, Robert W. Heath Jr., Sanjay Shakkottai
2005	J	`jnl`	Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime. Math. Oper. Res. Supratim Deb, Sanjay Shakkottai, R. Srikant
2005	J	`jnl`	Asymptotics of search strategies over a sensor network. IEEE Trans. Autom. Control. Sanjay Shakkottai
2005	—	`conf`	Geographic routing with limited information in sensor networks. IPSN Sundar Subramanian, Sanjay Shakkottai
2005	J	`jnl`	Unreliable sensor grids: coverage, connectivity and diameter. Ad Hoc Networks Sanjay Shakkottai, Rayadurgam Srikant, Ness B. Shroff
2004	A*	`conf`	Asymptotics of Query Strategies over a Sensor Network. INFOCOM Sanjay Shakkottai
2004	—	`conf`	Delay asymptotics of the SRPT scheduler. CDC Chang-Woo Yang, Sanjay Shakkottai
2004	J	`jnl`	Geographic Routing with Limited Information in Sensor Networks CoRR Sundar Subramanian, Sanjay Shakkottai
2004	A*	`conf`	Hop-by-hop Congestion Control over a Wireless Multi-hop Network. INFOCOM Yung Yi, Sanjay Shakkottai
2004	J	`jnl`	Mean FDE Models for Internet Congestion Control Under a Many-Flows Regime. IEEE Trans. Inf. Theory Sanjay Shakkottai, R. Srikant
2004	B	`conf`	Practical Costa precoding for the multiple antenna broadcast channel. GLOBECOM Manish Airy, Antonio Forenza, Robert W. Heath Jr., Sanjay Shakkottai
2003	J	`jnl`	Bounds on the throughput of congestion controllers in the presence of feedback delay. IEEE/ACM Trans. Netw. Sanjay Shakkottai, R. Srikant, Sean P. Meyn
2003	J	`jnl`	Cross-layer design for wireless networks. IEEE Commun. Mag. Sanjay Shakkottai, Theodore S. Rappaport, Peter C. Karlsson
2003	A*	`conf`	Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime. INFOCOM Supratim Deb, Sanjay Shakkottai, R. Srikant
2003	A*	`conf`	Unreliable Sensor Grids: Coverage, Connectivity and Diameter. INFOCOM Sanjay Shakkottai, R. Srikant, Ness B. Shroff
2002	A*	`conf`	How Good are Deterministic Fluid Models of Internet Congestion Control? INFOCOM Sanjay Shakkottai, Rayadurgam Srikant
2002	—	`—`	Resource Allocation for Quality of Service in a Heterogeneous Network Sanjay Shakkottai
2002	J	`jnl`	Scheduling Real-Time Traffic With Deadlines over a Wireless Channel. Wirel. Networks Sanjay Shakkottai, R. Srikant
2001	—	`conf`	Boundedness of utility function based congestion controllers in the presence of delay. CDC Sanjay Shakkottai, Rayadurgam Srikant, Sean P. Meyn
2001	Misc	`conf`	Deterministic fluid models of congestion control in high-speed networks. WSC Sanjay Shakkottai, R. Srikant
2001	J	`jnl`	Many-Sources Delay Asymptotics with Applications to Priority Queues. Queueing Syst. Theory Appl. Sanjay Shakkottai, R. Srikant
2001	J	`jnl`	TCP performance over end-to-end rate control and stochastic available capacity. IEEE/ACM Trans. Netw. Sanjay Shakkottai, Anurag Kumar, Aditya Karnik, Ajit Anvekar
2000	A*	`conf`	Delay asymptotics for a priority queueing system. SIGMETRICS Sanjay Shakkottai, R. Srikant
1999	C	`conf`	Scheduling Real-Time Traffic with Deadlines over a Wireless Channel. WOWMOM Sanjay Shakkottai, R. Srikant