Sayak Ray Chowdhury

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Aditya GopalanIndian Institute of Science, BangaloreGeverifieerd e-mailadres voor iisc.ac.in
Xingyu ZhouAssistant Professor, Wayne State UniversityGeverifieerd e-mailadres voor wayne.edu
Avishek GhoshAssistant Professor, IIT BombayGeverifieerd e-mailadres voor iitb.ac.in
Rafael OliveiraData61 (CSIRO), AustraliaGeverifieerd e-mailadres voor data61.csiro.au
Odalric-Ambrym MaillardInria Lille - Nord EuropeGeverifieerd e-mailadres voor inria.fr
Nagarajan NatarajanResearcher, Microsoft Research IndiaGeverifieerd e-mailadres voor microsoft.com
Patrick SauxPhD mathematics, Inria Scool and CRIStAL (CNRS)Geverifieerd e-mailadres voor inria.fr
Fabio RamosUniversity of Sydney and NVIDIAGeverifieerd e-mailadres voor sydney.edu.au
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityGeverifieerd e-mailadres voor osu.edu
Anush KiniMicrosoft ResearchGeverifieerd e-mailadres voor microsoft.com
Gaurav SinhaPrincipal Researcher at Microsoft ResearchGeverifieerd e-mailadres voor microsoft.com
Amit SharmaPrincipal Researcher, Microsoft ResearchGeverifieerd e-mailadres voor cornell.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyGeverifieerd e-mailadres voor eecs.berkeley.edu
Daman AroraMicrosoft ResearchGeverifieerd e-mailadres voor iitd.ac.in
Nirjhar DasResearch Intern, Microsoft Research India. BTech, Indian Institute of Technology DelhiGeverifieerd e-mailadres voor alumni.iitd.ac.in
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsGeverifieerd e-mailadres voor umd.edu
Aldo PacchianoBroad Institute of MIT and HarvardGeverifieerd e-mailadres voor broadinstitute.org
Debangshu BanerjeeIndian Institute of ScienceGeverifieerd e-mailadres voor iisc.ac.in
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityGeverifieerd e-mailadres voor bu.edu
Ashok CutkoskyBoston UniversityGeverifieerd e-mailadres voor cutkosky.com

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Sayak Ray Chowdhury

Postdoctoral Researcher, Microsoft Research

Geverifieerd e-mailadres voor microsoft.com - Homepage

Machine Learning Multi-armed Bandits Reinforcement Learning Differential Privacy


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017	421	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
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	13	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	13	2022
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
Provably Sample Efficient RLHF via Active Preference Optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv preprint arXiv:2402.10500, 2024	2	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	2	2023
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

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