Sayak Ray Chowdhury

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Aditya GopalanIndian Institute of Science, BangaloreZweryfikowany adres z iisc.ac.in
Xingyu ZhouAssistant Professor, Wayne State UniversityZweryfikowany adres z wayne.edu
Avishek GhoshAssistant Professor, Dept. of Computer Science & Engg., IIT BombayZweryfikowany adres z iitb.ac.in
Anush KiniMicrosoft ResearchZweryfikowany adres z microsoft.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaZweryfikowany adres z microsoft.com
Daman AroraCarnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Rafael OliveiraData61 (CSIRO), AustraliaZweryfikowany adres z data61.csiro.au
Odalric-Ambrym MaillardInria Lille - Nord EuropeZweryfikowany adres z inria.fr
Nirjhar DasMTech (Research), CSA, IIScZweryfikowany adres z iisc.ac.in
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsZweryfikowany adres z umd.edu
Aldo PacchianoBoston University and Broad Institute of MIT and HarvardZweryfikowany adres z bu.edu
Gaurav SinhaPrincipal Researcher at Microsoft ResearchZweryfikowany adres z microsoft.com
Amit SharmaPrincipal Researcher, Microsoft ResearchZweryfikowany adres z cornell.edu
Debangshu BanerjeeIndian Institute of ScienceZweryfikowany adres z iisc.ac.in
Patrick SauxPhD mathematics, Inria Scool and CRIStAL (CNRS)Zweryfikowany adres z inria.fr
Fabio RamosUniversity of Sydney and NVIDIAZweryfikowany adres z sydney.edu.au
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityZweryfikowany adres z osu.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyZweryfikowany adres z eecs.berkeley.edu
Yulian WuKing Abdullah University of Science and TechnologyZweryfikowany adres z kaust.edu.sa
Di WangKing Abdullah University of Science and TechnologyZweryfikowany adres z kaust.edu.sa

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Sayak Ray Chowdhury

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

Zweryfikowany adres z cse.iitk.ac.in - Strona główna

Machine Learning Multi-armed Bandits Reinforcement Learning Differential Privacy


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017	519	2017
Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	76	2017
Online learning in kernelized markov decision processes SR Chowdhury, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	54	2019
Bayesian optimization under heavy-tailed payoffs S Ray Chowdhury, A Gopalan Advances in Neural Information Processing Systems 32, 2019	31	2019
Provably robust dpo: Aligning language models with noisy feedback SR Chowdhury, A Kini, N Natarajan ICML 2024, 2024	28	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	25*	2023
Shuffle private linear contextual bandits SR Chowdhury, X Zhou International Conference in Machine Learning, 2022., 2022	25	2022
Provably sample efficient rlhf via active preference optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv preprint arXiv:2402.10500, 2024	23*	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	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
Distributed Differential Privacy in Multi-Armed Bandits SR Chowdhury, X Zhou ICLR 2023, 2022	17	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	17	2021
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning SR Chowdhury, R Oliveira Asian Conference on Machine Learning, 249-264, 2023	15*	2023
On differentially private federated linear contextual bandits X Zhou, SR Chowdhury ICLR 2024, 2023	14	2023
Active learning of conditional mean embeddings via bayesian optimisation SR Chowdhury, R Oliveira, F Ramos Conference on Uncertainty in Artificial Intelligence, 1119-1128, 2020	10	2020
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
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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