Amrit Singh Bedi

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Alec KoppelResearch Lead, JP Morgan AI ResearchAdresse e-mail validée de jpmchase.com
Ketan RajawatIIT KanpurAdresse e-mail validée de iitk.ac.in
Dinesh ManochaDistinguished University Professor, University of Maryland at College ParkAdresse e-mail validée de umd.edu
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsAdresse e-mail validée de umd.edu
Vaneet AggarwalPurdue UniversityAdresse e-mail validée de purdue.edu
Furong HuangAssociate Professor of Computer Science, University of MarylandAdresse e-mail validée de umd.edu
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityAdresse e-mail validée de princeton.edu
Brian M SadlerThe University of Texas at AustinAdresse e-mail validée de ieee.org
Junyu ZhangIndustrial Systems Engineering and Management, National University of SingaporeAdresse e-mail validée de nus.edu.sg
Pratap TokekarAssociate Professor, University of MarylandAdresse e-mail validée de umd.edu
Bennis MehdiFull Professor, IEEE Fellow, Head of ICON, University of OuluAdresse e-mail validée de oulu.fi
Anis ElgabliKing Fahd university of Petroleum and MineralsAdresse e-mail validée de kfupm.edu.sa
Sicheng ZhuUniversity of Maryland, College ParkAdresse e-mail validée de umd.edu
Wesley A SuttleU.S. Army Research LaboratoryAdresse e-mail validée de army.mil
Rishabh DixitDepartment of Mathematics, UC San DiegoAdresse e-mail validée de ucsd.edu
Jihong ParkAssociate Professor, SUTD, SMIEEEAdresse e-mail validée de sutd.edu.sg
Bang AnUniversity of Maryland, College ParkAdresse e-mail validée de umd.edu
Bhrij PatelCS PhD Student, University of Maryland, College ParkAdresse e-mail validée de umd.edu
Chaouki Ben IssaidSenior Researcher and Adjunct Professor, University of OuluAdresse e-mail validée de oulu.fi
Xiyang WuUniversity of MarylandAdresse e-mail validée de umd.edu

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Amrit Singh Bedi

Autres nomsAmrit S. Bedi

Assistant Professor in Department of Computer Science, University of Central Florida, FL, USA

Adresse e-mail validée de ucf.edu - Page d'accueil

Reinforcement Learning AI Alignment AI generated Text Detection Convex and Non-convex optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	167	2020
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	127*	2023
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	114	2019
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	86	2020
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	73	2022
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	71	2020
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	65*
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	49*	2023
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	46	2018
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	45	2022
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	43	2020
Online learning over dynamic graphs via distributed proximal gradient algorithm R Dixit, AS Bedi, K Rajawat IEEE Transactions on Automatic Control, 2020	41	2020
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	37	2021
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation AS Bedi, K Rajawat IEEE Transactions on Signal Processing, 2018	36	2018
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	31	2019
Parl: A unified framework for policy alignment in reinforcement learning from human feedback S Chakraborty, A Bedi, A Koppel, H Wang, D Manocha, M Wang, F Huang The Twelfth International Conference on Learning Representations, 2024	29*	2024
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	29	2019
Conservative stochastic optimization with expectation constraints Z Akhtar, AS Bedi, K Rajawat IEEE Transactions on Signal Processing 69, 3190-3205, 2021	28*	2021
Achieving zero constraint violation for constrained reinforcement learning via conservative natural policy gradient primal-dual algorithm Q Bai, AS Bedi, V Aggarwal Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6737-6744, 2023	27	2023
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	27	2021

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