Amrit Singh Bedi

149 papers A* 17A 9B 1C 4Misc 5Journal 101Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability. CoRR Marco Bornstein, Amrit Singh Bedi
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`	Draft-Conditioned Constrained Decoding for Structured Generation in LLMs. CoRR Avinash Reddy, Thayne T. Walker, James S. Ide, Amrit Singh Bedi
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	—	`conf`	Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs. EACL (Volume 1: Long Papers) James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2026	J	`jnl`	SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models. CoRR Xiyang Wu, Guangyao Shi, Qingzi Wang, Zongxia Li, Amrit Singh Bedi, Dinesh Manocha
2026	A*	`conf`	SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge. AAAI Adeel Yousaf, Joseph Fioresi, James Beetham, Amrit Singh Bedi, Mubarak Shah
2026	J	`jnl`	Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
2026	J	`jnl`	Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training. CoRR Anas Barakat, Souradip Chakraborty, Khushbu Pahwa, Amrit Singh Bedi
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	—	`conf`	Automatically Stopping Bayesian Optimization under Uncertain Surrogate Model Means. CDC Hans J. He, Alec Koppel, Amrit Singh Bedi, Mazen Farhood, Daniel J. Stilwell
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`	Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. Peihong Yu, Manav Mishra, Alec Koppel, Carl E. Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar
2025	A*	`conf`	Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. ICML Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha, Hao Zhu, Amrit Singh Bedi
2025	J	`jnl`	Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. CoRR Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha, Hao Zhu, Amrit Singh Bedi
2025	A	`conf`	Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation. IROS Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Dinesh Manocha, Amrit Singh Bedi
2025	J	`jnl`	Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi
2025	A	`conf`	EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering. IROS Kai Cheng, Zhengyuan Li, Xingpeng Sun, Byung-Cheol Min, Amrit Singh Bedi, Aniket Bera
2025	J	`jnl`	Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity. CoRR Zaixi Zhang, Souradip Chakraborty, Amrit Singh Bedi, Emilin Mathew, Varsha Saravanan, Le Cong, Alvaro Velasquez, Sheng Lin-Gibson, Megan Blewett, Dan Hendrycs, Alex John London, Ellen Zhong, Ben Raphael, Jian Ma, Eric Xing, Russ Altman, George Church, Mengdi Wang
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	A*	`conf`	Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CVPR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2025	J	`jnl`	Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm. CoRR Chak Lam Shek, Amrit Singh Bedi, Anjon Basak, Ellen R. Novoseller, Nicholas R. Waytowich, Priya Narayanan, Dinesh Manocha, Pratap Tokekar
2025	J	`jnl`	Leveraging Pre-Trained Visual Models for AI-Generated Video Detection. CoRR Keerthi Veeramachaneni, Praveen Tirupattur, Amrit Singh Bedi, Mubarak Shah
2025	J	`jnl`	MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models. CoRR Kevin Zhai, Utsav Singh, Anirudh Thatipelli, Souradip Chakraborty, Anit Kumar Sahu, Furong Huang, Amrit Singh Bedi, Mubarak Shah
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`	On the Vulnerability of LLM/VLM-Controlled Robotics. IROS Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
2025	J	`jnl`	PROPS: Progressively Private Self-alignment of Large Language Models. CoRR Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon
2025	J	`jnl`	PROPS: Progressively Private Self-alignment of Large Language Models. Trans. Mach. Learn. Res. Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon
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`	Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. CoRR Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister
2025	J	`jnl`	SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge. CoRR Adeel Yousaf, Joseph Fioresi, James Beetham, Amrit Singh Bedi, Mubarak Shah
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`	Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts. CoRR Jihoon Lee, Hoyeon Moon, Kevin Zhai, Arun Kumar Chithanar, Anit Kumar Sahu, Soummya Kar, Chul Lee, Souradip Chakraborty, Amrit Singh Bedi
2025	—	`conf`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. EMNLP (Findings) Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. CoRR Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences. CoRR Anukriti Singh, Amisha Bhaskar, Peihong Yu, Souradip Chakraborty, Ruthwik Dasyam, Amrit Singh Bedi, Pratap Tokekar
2024	J	`jnl`	AIME: AI System Optimization via Multiple LLM Evaluators. CoRR Bhrij Patel, Souradip Chakraborty, Wesley A. Suttle, Mengdi Wang, Amrit Singh Bedi, Dinesh Manocha
2024	J	`jnl`	Auction-Based Regulation for Artificial Intelligence. CoRR Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang
2024	J	`jnl`	Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues. CoRR Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Singh Bedi, Aniket Bera
2024	J	`jnl`	CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk. CoRR Mohamad Fares El Hajj Chehade, Amrit Singh Bedi, Amy Zhang, Hao Zhu
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`	EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering. CoRR Kai Cheng, Zhengyuan Li, Xingpeng Sun, Byung-Cheol Min, Amrit Singh Bedi, Aniket Bera
2024	J	`jnl`	Embodied Question Answering via Multi-LLM Systems. CoRR Bhrij Patel, Vishnu Sashank Dorbala, Dinesh Manocha, Amrit Singh Bedi
2024	A*	`conf`	FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
2024	J	`jnl`	FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? CoRR Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
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	J	`jnl`	Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. CoRR Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi
2024	J	`jnl`	Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2024	A	`conf`	LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. IROS Chak Lam Shek, Xiyang Wu, Wesley A. Suttle, Carl E. Busart, Erin G. Zaroukian, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi
2024	J	`jnl`	LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds. CoRR James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2024	J	`jnl`	MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
2024	J	`jnl`	On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
2024	J	`jnl`	On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. J. Mach. Learn. Res. Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel
2024	J	`jnl`	On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. CoRR Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi
2024	A*	`conf`	PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
2024	J	`jnl`	PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling. CoRR Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi
2024	J	`jnl`	Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals. CoRR Vishnu Sashank Dorbala, Bhrij Patel, Amrit Singh Bedi, Dinesh Manocha
2024	J	`jnl`	Transfer Q Star: Principled Decoding for LLM Alignment. CoRR Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
2024	A*	`conf`	Transfer Q-star : Principled Decoding for LLM Alignment. NeurIPS Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
2024	A	`conf`	TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation. IROS Xingpeng Sun, Yiran Zhang, Xindi Tang, Amrit Singh Bedi, Aniket Bera
2024	J	`jnl`	TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation. CoRR Xingpeng Sun, Yiran Zhang, Xindi Tang, Amrit Singh Bedi, Aniket Bera
2024	A	`conf`	When, What, and with Whom to Communicate: Enhancing RL-based Multi-Robot Navigation through Selective Communication. IROS Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
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`	Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. CoRR Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha
2023	J	`jnl`	Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
2023	J	`jnl`	Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. CoRR Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
2023	—	`conf`	Bi-Level Nonstationary Kernels for Online Gaussian Process Regression. CASE Hans He, Alec Koppel, Amrit Singh Bedi, Mazen Farhood, Daniel J. Stilwell
2023	A*	`conf`	Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. ICRA Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha
2023	A*	`conf`	Decentralized Multi-agent Exploration with Limited Inter-agent Communications. ICRA Hans He, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell, Mazen Farhood, Benjamin Biggs
2023	J	`jnl`	LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. CoRR Chak Lam Shek, Xiyang Wu, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi
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	J	`jnl`	On the Possibilities of AI-Generated Text Detection. CoRR Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2023	A*	`conf`	Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
2023	J	`jnl`	RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. CoRR Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha
2023	J	`jnl`	REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. CoRR Souradip Chakraborty, Amisha Bhaskar, Anukriti Singh, Pratap Tokekar, Dinesh Manocha, Amrit Singh Bedi
2023	A*	`conf`	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. ICRA Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
2023	J	`jnl`	RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation. CoRR Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang
2023	J	`jnl`	STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
2023	J	`jnl`	Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
2023	J	`jnl`	iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRR Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha
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	—	`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	A	`conf`	DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. IROS Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. CoRR Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	DMCA: Dense Multi-agent Navigation using Attention and Communication. CoRR Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Pratap Tokekar, Dinesh Manocha
2022	A	`conf`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	J	`jnl`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	J	`jnl`	Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, Alec Koppel
2022	J	`jnl`	FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha
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`	HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRR Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit Singh Bedi, Dinesh Manocha
2022	A*	`conf`	Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. AAAI Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
2022	A*	`conf`	On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
2022	J	`jnl`	On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
2022	J	`jnl`	Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
2022	J	`jnl`	Projection-Free Stochastic Bi-Level Optimization. IEEE Trans. Signal Process. Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat
2022	J	`jnl`	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. CoRR Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang
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`	Adaptive Kernel Learning in Heterogeneous Networks. IEEE Trans. Signal Inf. Process. over Networks Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2021	C	`conf`	Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures. ACC Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
2021	J	`jnl`	Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. IEEE J. Sel. Areas Inf. Theory Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
2021	J	`jnl`	Conservative Stochastic Optimization With Expectation Constraints. IEEE Trans. Signal Process. Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
2021	C	`conf`	Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation. ACC Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
2021	J	`jnl`	Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. Deepak S. Kalhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Hamed Hassani, Abhishek K. Gupta, Adrish Banerjee
2021	—	`conf`	Intermittent Communications in Decentralized Shadow Reward Actor-Critic. CDC Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Junyu Zhang
2021	C	`conf`	Joint Position and Beamforming Control via Alternating Nonlinear Least-Squares with a Hierarchical Gamma Prior. ACC Anjaly Parayil, Amrit Singh Bedi, Alec Koppel
2021	J	`jnl`	MARL with General Utilities via Decentralized Shadow Reward Actor-Critic. CoRR Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
2021	J	`jnl`	Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. IEEE Trans. Signal Process. Alec Koppel, Amrit Singh Bedi, Brian M. Sadler, Víctor Elvira
2021	J	`jnl`	Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning. IEEE Trans. Signal Process. Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Panchajanya Sanyal
2021	J	`jnl`	On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. CoRR Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel
2021	J	`jnl`	Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm. IEEE Trans. Autom. Control. Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat
2021	J	`jnl`	Projection-Free Algorithm for Stochastic Bi-level Optimization. CoRR Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat
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	—	`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`	Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. IROS Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell
2021	J	`jnl`	Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. CoRR Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell
2020	J	`jnl`	Asynchronous and Parallel Distributed Pose Graph Optimization. CoRR Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How
2020	J	`jnl`	Asynchronous and Parallel Distributed Pose Graph Optimization. IEEE Robotics Autom. Lett. Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How
2020	J	`jnl`	Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. CoRR Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
2020	Misc	`conf`	Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. ACSSC Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2020	J	`jnl`	Conservative Stochastic Optimization with Expectation Constraints. CoRR Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
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	J	`jnl`	Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments. IEEE Trans. Signal Process. Mohan Krishna Nutalapati, Amrit Singh Bedi, Ketan Rajawat, Marceau Coupechoux
2020	J	`jnl`	Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler
2020	C	`conf`	Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
2020	A*	`conf`	Variational Policy Gradient Method for Reinforcement Learning with General Utilities. NeurIPS Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang
2020	J	`jnl`	Variational Policy Gradient Method for Reinforcement Learning with General Utilities. CoRR Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang
2019	J	`jnl`	Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
2019	J	`jnl`	Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints. IEEE Trans. Signal Inf. Process. over Networks Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2019	J	`jnl`	Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks. IEEE Trans. Signal Process. Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2019	Misc	`conf`	Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. ACSSC Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Víctor Elvira
2019	—	`conf`	Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent. CDC Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat, Alec Koppel
2019	J	`jnl`	Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
2019	J	`jnl`	Online Learning With Inexact Proximal Online Gradient Descent Algorithms. IEEE Trans. Signal Process. Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat
2019	J	`jnl`	Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. CoRR Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat
2019	J	`jnl`	Optimally Compressed Nonparametric Online Learning. CoRR Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler
2018	Misc	`conf`	Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. ICASSP Amrit Singh Bedi, Paban Sarma, Ketan Rajawat
2018	—	`conf`	Asynchronous Saddle Point Method: Interference Management Through Pricing. CDC Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2018	—	`conf`	Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis. SPCOM Amrit Singh Bedi, Hrusikesha Pradhan, Ketan Rajawat
2018	—	`conf`	Exact Nonparametric Decentralized Online Optimization. GlobalSIP Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
2018	J	`jnl`	Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate. IEEE Trans. Commun. Amrit Singh Bedi, Ketan Rajawat
2018	Misc	`conf`	Time Varying optimization via Inexact Proximal Online Gradient Descent. ACSSC Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat
2018	B	`conf`	Wireless network optimization via stochastic sub-gradient descent: Rate analysis. WCNC Amrit Singh Bedi, Ketan Rajawat
2017	Misc	`conf`	Beyond consensus and synchrony in decentralized online optimization using saddle point method. ACSSC Amrit Singh Bedi, Alec Koppel, Ketan Rajawat