| 2024 | ICML | Position: On the Possibilities of AI-Generated Text Detection. | Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang |
| 2024 | ICML | MaxMin-RLHF: Alignment with Diverse Human Preferences. | Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang |
| 2024 | ICML | Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. | Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal |
| 2024 | ICML | Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. | Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi |
| 2024 | ICML | PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling. | Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit S. Bedi |
| 2023 | CoRL | Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. | Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha |
| 2023 | ICLR | SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. | Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang |
| 2023 | ICML | STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. | Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha |
| 2023 | ICML | Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. | Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha |
| 2022 | ACSSC | Fast Distributed Beamforming without Receiver Feedback. | Kushal Chakrabarti, Amrit S. Bedi, Fikadu T. Dagefu, Jeffrey N. Twigg, Nikhil Chopra |
| 2022 | CoRL | HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. | Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha |
| 2021 | GLOBECOM | Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. | Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2021 | ICASSP | A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters. | Alec Koppel, Amrit S. Bedi, Vikram Krishnamurthy |
| 2020 | CISS | Communication Efficient Framework for Decentralized Machine Learning. | Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2020 | ICASSP | Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. | Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2020 | ICASSP | Projection Free Dynamic Online Learning. | Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta, Adrish Banerjee |
| 2018 | INFOCOM | An Online Approach to D2D Trajectory Utility Maximization Problem. | Amrit S. Bedi, Ketan Rajawat, Marceau Coupechoux |
| 2016 | GLOBECOM | BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP. | Javed Akhtar, Amrit S. Bedi, Ketan Rajawat, Aditya K. Jagannatham |