Sayak Ray Chowdhury

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Aditya GopalanIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Xingyu ZhouAssistant Professor, Wayne State UniversityVerified email at wayne.edu
Avishek GhoshAssistant Professor, IIT BombayVerified email at iitb.ac.in
Rafael OliveiraData61 (CSIRO), AustraliaVerified email at data61.csiro.au
Odalric-Ambrym MaillardInria Lille - Nord EuropeVerified email at inria.fr
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Patrick SauxPhD mathematics, Inria Scool and CRIStAL (CNRS)Verified email at inria.fr
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityVerified email at osu.edu
Gaurav SinhaPrincipal Researcher at Microsoft ResearchVerified email at microsoft.com
Amit SharmaPrincipal Researcher, Microsoft ResearchVerified email at cornell.edu
Anush KiniMicrosoft ResearchVerified email at microsoft.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Debangshu BanerjeeIndian Institute of ScienceVerified email at iisc.ac.in
Daman AroraMicrosoft ResearchVerified email at iitd.ac.in
Nirjhar DasResearch Intern, Microsoft Research India. BTech, Indian Institute of Technology DelhiVerified email at alumni.iitd.ac.in
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsVerified email at umd.edu
Aldo PacchianoBroad Institute of MIT and HarvardVerified email at broadinstitute.org
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Ashok CutkoskyBoston UniversityVerified email at cutkosky.com

Sayak Ray Chowdhury

Postdoctoral Researcher, Microsoft Research

Verified email at microsoft.com - Homepage

Machine Learning Multi-armed Bandits Reinforcement Learning Differential Privacy


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On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017	416	2017
Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	62	2017
Online learning in kernelized markov decision processes SR Chowdhury, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	46	2019
Bayesian optimization under heavy-tailed payoffs S Ray Chowdhury, A Gopalan Advances in Neural Information Processing Systems 32, 2019	25	2019
No-regret algorithms for multi-task bayesian optimization SR Chowdhury, A Gopalan International Conference on Artificial Intelligence and Statistics, 1873-1881, 2021	18	2021
Shuffle private linear contextual bandits SR Chowdhury, X Zhou International Conference in Machine Learning, 2022., 2022	16	2022
Differentially private regret minimization in episodic markov decision processes SR Chowdhury, X Zhou Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6375-6383, 2022	13	2022
Bregman deviations of generic exponential families SR Chowdhury, P Saux, O Maillard, A Gopalan The Thirty Sixth Annual Conference on Learning Theory, 394-449, 2023	12	2023
Distributed Differential Privacy in Multi-Armed Bandits SR Chowdhury, X Zhou ICLR 2023, 2022	12	2022
On differentially private federated linear contextual bandits X Zhou, SR Chowdhury arXiv preprint arXiv:2302.13945, 2023	11	2023
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning SR Chowdhury, R Oliveira Asian Conference on Machine Learning, 249-264, 2023	9*	2023
Adaptive control of differentially private linear quadratic systems SR Chowdhury, X Zhou, N Shroff 2021 IEEE International Symposium on Information Theory (ISIT), 485-490, 2021	8	2021
Reinforcement learning in parametric mdps with exponential families SR Chowdhury, A Gopalan, OA Maillard International Conference on Artificial Intelligence and Statistics, 1855-1863, 2021	8	2021
Active learning of conditional mean embeddings via bayesian optimisation SR Chowdhury, R Oliveira, F Ramos Conference on Uncertainty in Artificial Intelligence, 1119-1128, 2020	8	2020
Model Selection in Reinforcement Learning with General Function Approximations A Ghosh, SR Chowdhury ECML-PKDD, 2022, 2022	6*	2022
On Batch Bayesian Optimization SR Chowdhury, A Gopalan arXiv preprint arXiv:1911.01032, 2019	5	2019
Differentially Private Reward Estimation from Preference Based Feedback SR Chowdhury, X Zhou ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023	2	2023
A game theoretic approach to robust optimization SR Chowdhury M.E. dissertation, Indian Institute of Science Bangalore, 2015	2	2015
Differentially private reward estimation with preference feedback SR Chowdhury, X Zhou, N Natarajan International Conference on Artificial Intelligence and Statistics, 4843-4851, 2024	1	2024
Provably Sample Efficient RLHF via Active Preference Optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv preprint arXiv:2402.10500, 2024	1	2024

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