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2020 – today
- 2024
[j23]Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel:
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. J. Mach. Learn. Res. 25: 39:1-39:58 (2024)- [c59]Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang:
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR 2024 - [c58]Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
Position: On the Possibilities of AI-Generated Text Detection. ICML 2024 - [c57]Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang:
MaxMin-RLHF: Alignment with Diverse Human Preferences. ICML 2024 - [c56]Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal:
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. ICML 2024 - [c55]Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi:
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. ICML 2024 - [c54]Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit S. Bedi:
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling. ICML 2024 - [c53]Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha:
When, What, and with Whom to Communicate: Enhancing RL-based Multi-Robot Navigation through Selective Communication. IROS 2024: 7695 - [c52]Xingpeng Sun, Yiran Zhang, Xindi Tang, Amrit Singh Bedi, Aniket Bera:
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation. IROS 2024: 8794-8801 - [c51]Chak Lam Shek, Xiyang Wu, Wesley A. Suttle, Carl E. Busart, Erin G. Zaroukian, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi:
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. IROS 2024: 9612-9619 - [i64]Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Singh Bedi, Aniket Bera:
Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues. CoRR abs/2402.03494 (2024) - [i63]Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
:
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR abs/2402.08925 (2024) - [i62]Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi:
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR abs/2402.10340 (2024) - [i61]Peihong Yu, Manav Mishra, Alec Koppel, Carl E. Busart, Priya Narayan, Dinesh Manocha, Amrit S. Bedi, Pratap Tokekar:
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. CoRR abs/2403.08936 (2024) - [i60]Vishnu Sashank Dorbala, Bhrij Patel, Amrit Singh Bedi, Dinesh Manocha:
Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals. CoRR abs/2403.09905 (2024) - [i59]Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha:
Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic. CoRR abs/2403.11925 (2024) - [i58]Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi:
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling. CoRR abs/2404.13423 (2024) - [i57]Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal:
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. CoRR abs/2405.01843 (2024) - [i56]Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang:
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? CoRR abs/2405.13879 (2024) - [i55]Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang:
Transfer Q Star: Principled Decoding for LLM Alignment. CoRR abs/2405.20495 (2024) - [i54]Bhrij Patel, Vishnu Sashank Dorbala, Dinesh Manocha, Amrit Singh Bedi:
Embodied Question Answering via Multi-LLM Systems. CoRR abs/2406.10918 (2024) - [i53]Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang:
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR abs/2406.15567 (2024) - [i52]Xingpeng Sun, Yiran Zhang, Xindi Tang, Amrit Singh Bedi, Aniket Bera:
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation. CoRR abs/2408.01867 (2024) - [i51]Mohamad Fares El Hajj Chehade, Amrit Singh Bedi, Amy Zhang, Hao Zhu:
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk. CoRR abs/2408.08812 (2024) - [i50]Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang:
Auction-Based Regulation for Artificial Intelligence. CoRR abs/2410.01871 (2024) - [i49]Bhrij Patel, Souradip Chakraborty, Wesley A. Suttle, Mengdi Wang, Amrit Singh Bedi, Dinesh Manocha:
AIME: AI System Optimization via Multiple LLM Evaluators. CoRR abs/2410.03131 (2024) - [i48]Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi:
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. CoRR abs/2410.04108 (2024) - [i47]Mudit Gaur, Amrit Singh Bedi, Raghu Pasupathy, Vaneet Aggarwal:
On The Global Convergence Of Online RLHF With Neural Parametrization. CoRR abs/2410.15610 (2024) - [i46]Kai Cheng, Zhengyuan Li, Xingpeng Sun, Byung-Cheol Min, Amrit Singh Bedi, Aniket Bera:
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering. CoRR abs/2410.20263 (2024) - [i45]Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi:
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. CoRR abs/2411.00361 (2024) - [i44]Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi:
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CoRR abs/2411.18688 (2024) - [i43]James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah:
LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds. CoRR abs/2412.05232 (2024) - 2023
- [j22]Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi:
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. 2023 (2023) - [c50]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. AAAI 2023: 6737-6744 - [c49]Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI 2023: 6980-6988 - [c48]Hans He, Alec Koppel, Amrit Singh Bedi, Mazen Farhood, Daniel J. Stilwell:
Bi-Level Nonstationary Kernels for Online Gaussian Process Regression. CASE 2023: 1-7 - [c47]Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha:
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRL 2023: 446-477 - [c46]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR 2023 - [c45]Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML 2023: 3949-3978 - [c44]Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. ICML 2023: 33240-33267 - [c43]Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha:
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. ICRA 2023: 989-995 - [c42]Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha:
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. ICRA 2023: 1393-1399 - [c41]Hans He, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell, Mazen Farhood, Benjamin Biggs:
Decentralized Multi-agent Exploration with Limited Inter-agent Communications. ICRA 2023: 5530-5536 - [i42]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR abs/2301.12038 (2023) - [i41]Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. CoRR abs/2301.12083 (2023) - [i40]Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha:
RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. CoRR abs/2303.07622 (2023) - [i39]Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
On the Possibilities of AI-Generated Text Detection. CoRR abs/2304.04736 (2023) - [i38]Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha:
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. CoRR abs/2306.06192 (2023) - [i37]Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha:
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRR abs/2306.06236 (2023) - [i36]Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal:
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization. CoRR abs/2306.10486 (2023) - [i35]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang:
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR abs/2308.02585 (2023) - [i34]Chak Lam Shek, Xiyang Wu, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi:
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. CoRR abs/2310.00481 (2023) - [i33]Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang:
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation. CoRR abs/2310.13681 (2023) - [i32]Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi:
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR abs/2310.15264 (2023) - [i31]Souradip Chakraborty, Amisha Bhaskar, Anukriti Singh, Pratap Tokekar, Dinesh Manocha, Amrit Singh Bedi:
REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. CoRR abs/2312.14436 (2023) - 2022
- [j21]Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, Alec Koppel:
Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. 70: 307-321 (2022) - [j20]Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat:
Projection-Free Stochastic Bi-Level Optimization. IEEE Trans. Signal Process. 70: 6332-6347 (2022) - [c40]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI 2022: 3682-3689 - [c39]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. AAAI 2022: 9031-9039 - [c38]Kushal Chakrabarti, Amrit S. Bedi, Fikadu T. Dagefu, Jeffrey N. Twigg, Nikhil Chopra:
Fast Distributed Beamforming without Receiver Feedback. IEEECONF 2022: 1408-1412 - [c37]Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal:
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming. CDC 2022: 4545-4552 - [c36]Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha:
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRL 2022: 1629-1639 - [c35]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML 2022: 1716-1731 - [c34]Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - [c33]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS 2022: 4391-4398 - [c32]Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha:
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. IROS 2022: 11711-11718 - [i30]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR abs/2201.12332 (2022) - [i29]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR abs/2203.00851 (2022) - [i28]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR abs/2206.01162 (2022) - [i27]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Pratap Tokekar, Dinesh Manocha:
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. CoRR abs/2206.05652 (2022) - [i26]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. CoRR abs/2206.05850 (2022) - [i25]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - [i24]Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha:
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR abs/2206.10815 (2022) - [i23]Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit Singh Bedi, Dinesh Manocha:
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRR abs/2207.03694 (2022) - [i22]Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha:
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. CoRR abs/2209.02865 (2022) - [i21]Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha:
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. CoRR abs/2209.05738 (2022) - [i20]Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha:
DMCA: Dense Multi-agent Navigation using Attention and Communication. CoRR abs/2209.06415 (2022) - [i19]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR abs/2210.14026 (2022) - 2021
- [j19]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. IEEE J. Sel. Areas Inf. Theory 2(2): 611-626 (2021) - [j18]Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat:
Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm. IEEE Trans. Autom. Control. 66(11): 5065-5079 (2021) - [j17]Anis Elgabli, Jihong Park, Amrit Singh Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Trans. Commun. 69(1): 164-181 (2021) - [j16]Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Adaptive Kernel Learning in Heterogeneous Networks. IEEE Trans. Signal Inf. Process. over Networks 7: 423-437 (2021) - [j15]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Panchajanya Sanyal:
Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning. IEEE Trans. Signal Process. 69: 428-442 (2021) - [j14]Deepak S. Kalhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Hamed Hassani, Abhishek K. Gupta, Adrish Banerjee:
Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. 69: 932-947 (2021) - [j13]Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization With Expectation Constraints. IEEE Trans. Signal Process. 69: 3190-3205 (2021) - [j12]Alec Koppel, Amrit Singh Bedi, Brian M. Sadler, Víctor Elvira:
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. IEEE Trans. Signal Process. 69: 6401-6415 (2021) - [c31]Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal:
Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning. ACSCC 2021: 1023-1026 - [c30]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures. ACC 2021: 894-901 - [c29]Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation. ACC 2021: 2224-2229 - [c28]Anjaly Parayil, Amrit Singh Bedi, Alec Koppel:
Joint Position and Beamforming Control via Alternating Nonlinear Least-Squares with a Hierarchical Gamma Prior. ACC 2021: 3513-3518 - [c27]Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Junyu Zhang:
Intermittent Communications in Decentralized Shadow Reward Actor-Critic. CDC 2021: 2613-2620 - [c26]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. GLOBECOM 2021: 1-6 - [c25]Alec Koppel, Amrit S. Bedi, Vikram Krishnamurthy:
A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters. ICASSP 2021: 2975-2979 - [c24]Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell:
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. IROS 2021: 9833-9840 - [i18]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR abs/2105.14772 (2021) - [i17]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic. CoRR abs/2106.00543 (2021) - [i16]Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel:
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. CoRR abs/2106.08414 (2021) - [i15]Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell:
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. CoRR abs/2107.12797 (2021) - [i14]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR abs/2109.06332 (2021) - [i13]Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat:
Projection-Free Algorithm for Stochastic Bi-level Optimization. CoRR abs/2110.11721 (2021) - 2020
- [j11]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. 21: 76:1-76:39 (2020) - [j10]Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How:
Asynchronous and Parallel Distributed Pose Graph Optimization. IEEE Robotics Autom. Lett. 5(4): 5819-5826 (2020) - [j9]Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. 37(3): 61-70 (2020) - [j8]Mohan Krishna Nutalapati, Amrit Singh Bedi, Ketan Rajawat, Marceau Coupechoux:
Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments. IEEE Trans. Signal Process. 68: 4824-4838 (2020) - [c23]Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. ACSSC 2020: 53-57 - [c22]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC 2020: 321-326 - [c21]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Communication Efficient Framework for Decentralized Machine Learning. CISS 2020: 1-5 - [c20]Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta, Adrish Banerjee:
Projection Free Dynamic Online Learning. ICASSP 2020: 3957-3961 - [c19]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP 2020: 8876-8880 - [c18]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC 2020: 924-934 - [c17]Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang:
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. NeurIPS 2020 - [i12]Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. CoRR abs/2002.12475 (2020) - [i11]Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How:
Asynchronous and Parallel Distributed Pose Graph Optimization. CoRR abs/2003.03281 (2020) - [i10]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Gaussian Process Bandits by Believing only Informative Actions. CoRR abs/2003.10550 (2020) - [i9]Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvári, Mengdi Wang:
Variational Policy Gradient Method for Reinforcement Learning with General Utilities. CoRR abs/2007.02151 (2020) - [i8]Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization with Expectation Constraints. CoRR abs/2008.05758 (2020)
2010 – 2019
- 2019
- [j7]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints. IEEE Trans. Signal Inf. Process. over Networks 5(3): 479-494 (2019) - [j6]Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat:
Online Learning With Inexact Proximal Online Gradient Descent Algorithms. IEEE Trans. Signal Process. 67(5): 1338-1352 (2019) - [j5]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks. IEEE Trans. Signal Process. 67(7): 1742-1757 (2019) - [c16]Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Víctor Elvira:
Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. ACSSC 2019: 477-481 - [c15]Alec Koppel, Amrit S. Bedi, Ketan Rajawat:
Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels. ACC 2019: 3519-3525 - [c14]Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat, Alec Koppel:
Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent. CDC 2019: 2745-2751 - [i7]Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat:
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. CoRR abs/1905.07018 (2019) - [i6]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. CoRR abs/1909.00047 (2019) - [i5]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR abs/1909.05442 (2019) - [i4]Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler:
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR abs/1909.10279 (2019) - [i3]Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning. CoRR abs/1909.11555 (2019) - [i2]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. CoRR abs/1910.10453 (2019) - 2018
- [j4]Amrit S. Bedi, Paban Sarma, Ketan Rajawat:
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. IEEE J. Sel. Top. Signal Process. 12(1): 202-217 (2018) - [j3]Amrit Singh Bedi, Ketan Rajawat:
Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate. IEEE Trans. Commun. 66(5): 2107-2121 (2018) - [j2]Amrit S. Bedi, Ketan Rajawat:
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. IEEE Trans. Signal Process. 66(9): 2229-2244 (2018) - [c13]Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat:
On Socially Optimal Traffic Flow in the Presence of Random Users. ANTS 2018: 1-6 - [c12]Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat:
Time Varying optimization via Inexact Proximal Online Gradient Descent. ACSSC 2018: 759-763 - [c11]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Asynchronous Saddle Point Method: Interference Management Through Pricing. CDC 2018: 3229-3235 - [c10]Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Exact Nonparametric Decentralized Online Optimization. GlobalSIP 2018: 643-647 - [c9]Amrit Singh Bedi, Paban Sarma, Ketan Rajawat:
Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. ICASSP 2018: 2881-2885 - [c8]Amrit S. Bedi, Ketan Rajawat, Marceau Coupechoux:
An Online Approach to D2D Trajectory Utility Maximization Problem. INFOCOM 2018: 1610-1618 - [c7]Amrit Singh Bedi, Hrusikesha Pradhan, Ketan Rajawat:
Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis. SPCOM 2018: 402-406 - [c6]Amrit Singh Bedi, Ketan Rajawat:
Wireless network optimization via stochastic sub-gradient descent: Rate analysis. WCNC 2018: 1-6 - [i1]Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat:
On Socially Optimal Traffic Flow in the Presence of Random Users. CoRR abs/1810.07934 (2018) - 2017
- [c5]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat:
Beyond consensus and synchrony in decentralized online optimization using saddle point method. ACSSC 2017: 293-297 - [c4]Amrit S. Bedi, Ketan Rajawat:
Asynchronous resource allocation in distributed heterogeneous networks. ICC 2017: 1-7 - [c3]Amrit S. Bedi, Md. Waseem Ahmad, Ketan Rajawat, Sandeep Anand:
Optimal utilization of storage systems under real-time pricing. ICC Workshops 2017: 1141-1146 - 2016
- [j1]Amrit S. Bedi, Javed Akhtar, Ketan Rajawat, Aditya K. Jagannatham:
BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix. IEEE Commun. Lett. 20(2): 280-283 (2016) - [c2]Javed Akhtar, Amrit S. Bedi, Ketan Rajawat, Aditya K. Jagannatham:
BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP. GLOBECOM 2016: 1-6 - [c1]Amrit S. Bedi, Ketan Rajawat:
Online load scheduling under price and demand uncertainty in smart grid. SPCOM 2016: 1-5
Coauthor Index
[j23] [c59] [c57] [c55] [i63] [i61] [i59] [i53] [c49] [c48] [c45] [c44] [c43] [c41] [i42] [i41] [i38] [i35] [j21] [c40] [c39] [c37] [c35] [c33] [i30] [i29] [i28] [i27] [i24] [j19] [j16] [j15] [j14] [j12] [c31] [c30] [c28] [c27] [c25] [c24] [i17] [i16] [i15] [i14] [j10] [j9] [c23] [c22] [c20] [c18] [c17] [i12] [i11] [i10] [i9] [j7] [j5] [c16] [c15] [c14] [i5] [i4] [i3] [c11] [c10] [c5]
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