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Amrit Singh Bedi
Amrit Singh Bedi
Other namesAmrit S. Bedi
Assistant Professor in Department of Computer Science, University of Central Florida, FL, USA
Verified email at ucf.edu - Homepage
Title
Cited by
Cited by
Year
Variational policy gradient method for reinforcement learning with general utilities
J Zhang, A Koppel, AS Bedi, C Szepesvari, M Wang
Advances in Neural Information Processing Systems 33, 2020
1382020
Online Learning With Inexact Proximal Online Gradient Descent Algorithms
R Dixit, AS Bedi, R Tripathi, K Rajawat
IEEE Transactions on Signal Processing 67 (5), 1338 - 1352, 2019
1072019
On the possibilities of ai-generated text detection
S Chakraborty, AS Bedi, S Zhu, B An, D Manocha, F Huang
arXiv preprint arXiv:2304.04736, 2023
93*2023
GADMM: Fast and communication efficient framework for distributed machine learning
A Elgabli, J Park, AS Bedi, M Bennis, V Aggarwal
Journal of Machine Learning Research 21 (76), 1-39, 2020
782020
Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach
Q Bai, AS Bedi, M Agarwal, A Koppel, V Aggarwal
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3682-3689, 2022
682022
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
A Elgabli, J Park, AS Bedi, M Bennis, V Aggarwal
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
592020
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm
AS Bedi, P Sarma, K Rajawat
IEEE Journal of Selected Topics in Signal Processing 12 (1), 202-217, 2018
462018
Asynchronous and parallel distributed pose graph optimization
Y Tian, A Koppel, AS Bedi, JP How
IEEE Robotics and Automation Letters 5 (4), 5819-5826, 2020
392020
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation
AS Bedi, K Rajawat
IEEE Transactions on Signal Processing, 2018
362018
Cautious reinforcement learning via distributional risk in the dual domain
J Zhang, AS Bedi, M Wang, A Koppel
IEEE Journal on Selected Areas in Information Theory 2 (2), 611-626, 2021
312021
Online learning over dynamic graphs via distributed proximal gradient algorithm
R Dixit, AS Bedi, K Rajawat
IEEE Transactions on Automatic Control, 2020
312020
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
A Elgabli, CB Issaid, AS Bedi, K Rajawat, M Bennis, V Aggarwal
International Conference on Machine Learning, 5861-5877, 2022
292022
Asynchronous online learning in multi-agent systems with proximity constraints
AS Bedi, A Koppel, K Rajawat
IEEE Transactions on Signal and Information Processing over Networks 5 (3 …, 2019
282019
Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks
AS Bedi, A Koppel, K Rajawat
IEEE Transactions on Signal Processing 67 (7), 1742 - 1757, 2019
272019
Dynamic Online Learning via Frank-Wolfe Algorithm
DS Kalhan, AS Bedi, A Koppel, K Rajawat, H Hassani, AK Gupta, ...
IEEE Transactions on Signal Processing 69, 932-947, 2021
262021
Conservative stochastic optimization with expectation constraints
Z Akhtar, AS Bedi, K Rajawat
IEEE Transactions on Signal Processing 69, 3190-3205, 2021
242021
Online algorithms for storage utilization under real-time pricing in smart grid
SA Amrit S. Bedi, , P.V. Aditya P., , Md. Waseem Ahmad, , S. Swapnil ...
International Journal of Electrical Power & Energy Systems 101, 50-59, 2018
24*2018
MaxMin-RLHF: Alignment with Diverse Human Preferences
S Chakraborty, J Qiu, H Yuan, A Koppel, D Manocha, F Huang, A Bedi, ...
Forty-first International Conference on Machine Learning, 0
23*
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection
SS Ghosal, S Chakraborty, J Geiping, F Huang, D Manocha, A Bedi
Transactions on Machine Learning Research, 2023
21*2023
Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning
AS Bedi, A Koppel, K Rajawat
IEEE Transactions on Signal Processing (Submitted), 0
21*
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Articles 1–20