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, Dept. of Computer Science & Engg., IIT BombayVerified email at iitb.ac.in
Anush KiniMicrosoft ResearchVerified email at microsoft.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Daman AroraCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Rafael OliveiraData61 (CSIRO), AustraliaVerified email at data61.csiro.au
Odalric-Ambrym MaillardInria Lille - Nord EuropeVerified email at inria.fr
Nirjhar DasMTech (Research), CSA, IIScVerified email at iisc.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
Debangshu BanerjeeIndian Institute of ScienceVerified email at iisc.ac.in
Gaurav SinhaPrincipal Researcher at Microsoft ResearchVerified email at microsoft.com
Amit SharmaPrincipal Researcher, Microsoft ResearchVerified email at cornell.edu
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
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Jian JiaoMicrosoftVerified email at microsoft.com
Bhawna PaliwalMicrosoft ResearchVerified email at microsoft.com

Sayak Ray Chowdhury

Assistant Professor of Computer Science and Engineering, Indian Institute of Technology, Kanpur

Verified email at cse.iitk.ac.in - 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	490	2017
Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	73	2017
Online learning in kernelized markov decision processes SR Chowdhury, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	53	2019
Bayesian optimization under heavy-tailed payoffs S Ray Chowdhury, A Gopalan Advances in Neural Information Processing Systems 32, 2019	30	2019
Shuffle private linear contextual bandits SR Chowdhury, X Zhou International Conference in Machine Learning, 2022., 2022	25	2022
Provably robust dpo: Aligning language models with noisy feedback SR Chowdhury, A Kini, N Natarajan ICML 2024, 2024	22	2024
Gar-meets-rag paradigm for zero-shot information retrieval D Arora, A Kini, SR Chowdhury, N Natarajan, G Sinha, A Sharma arXiv preprint arXiv:2310.20158, 2023	19*	2023
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	19	2022
No-regret algorithms for multi-task bayesian optimization SR Chowdhury, A Gopalan International Conference on Artificial Intelligence and Statistics, 1873-1881, 2021	18	2021
Provably sample efficient rlhf via active preference optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv preprint arXiv:2402.10500, 2024	16*	2024
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	16	2023
Distributed Differential Privacy in Multi-Armed Bandits SR Chowdhury, X Zhou ICLR 2023, 2022	16	2022
Reinforcement learning in parametric mdps with exponential families SR Chowdhury, A Gopalan, OA Maillard International Conference on Artificial Intelligence and Statistics, 1855-1863, 2021	16	2021
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning SR Chowdhury, R Oliveira Asian Conference on Machine Learning, 249-264, 2023	14*	2023
On differentially private federated linear contextual bandits X Zhou, SR Chowdhury ICLR 2024, 2023	13	2023
On Batch Bayesian Optimization SR Chowdhury, A Gopalan arXiv preprint arXiv:1911.01032, 2019	9	2019
Model Selection in Reinforcement Learning with General Function Approximations A Ghosh, SR Chowdhury ECML-PKDD, 2022, 2022	8*	2022
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
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
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference D Banerjee, A Ghosh, SR Chowdhury, A Gopalan International Conference on Artificial Intelligence and Statistics, 8233-8262, 2023	7*	2023

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