Sayak Ray Chowdhury

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Aditya GopalanIndian Institute of Science, Bangalore在 iisc.ac.in 的电子邮件经过验证
Xingyu ZhouAssistant Professor, Wayne State University在 wayne.edu 的电子邮件经过验证
Avishek GhoshAssistant Professor, Dept. of Computer Science & Engg., IIT Bombay在 iitb.ac.in 的电子邮件经过验证
Anush KiniMicrosoft Research在 microsoft.com 的电子邮件经过验证
Nagarajan NatarajanResearcher, Microsoft Research India在 microsoft.com 的电子邮件经过验证
Daman AroraCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Rafael OliveiraData61 (CSIRO), Australia在 data61.csiro.au 的电子邮件经过验证
Odalric-Ambrym MaillardInria Lille - Nord Europe在 inria.fr 的电子邮件经过验证
Nirjhar DasMTech (Research), CSA, IISc在 iisc.ac.in 的电子邮件经过验证
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart Labs在 umd.edu 的电子邮件经过验证
Aldo PacchianoBoston University and Broad Institute of MIT and Harvard在 bu.edu 的电子邮件经过验证
Gaurav SinhaPrincipal Researcher at Microsoft Research在 microsoft.com 的电子邮件经过验证
Amit SharmaPrincipal Researcher, Microsoft Research在 cornell.edu 的电子邮件经过验证
Debangshu BanerjeeIndian Institute of Science在 iisc.ac.in 的电子邮件经过验证
Patrick SauxPhD mathematics, Inria Scool and CRIStAL (CNRS)在 inria.fr 的电子邮件经过验证
Fabio RamosUniversity of Sydney and NVIDIA在 sydney.edu.au 的电子邮件经过验证
Ness ShroffDepartment of ECE and CSE, The Ohio State University在 osu.edu 的电子邮件经过验证
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
Yulian WuKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Di WangKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证

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Sayak Ray Chowdhury

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

在 cse.iitk.ac.in 的电子邮件经过验证 - 首页

Machine Learning Multi-armed Bandits Reinforcement Learning Differential Privacy


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017	510	2017
Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	75	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
Provably robust dpo: Aligning language models with noisy feedback SR Chowdhury, A Kini, N Natarajan ICML 2024, 2024	26	2024
Shuffle private linear contextual bandits SR Chowdhury, X Zhou International Conference in Machine Learning, 2022., 2022	25	2022
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	24*	2023
Provably sample efficient rlhf via active preference optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv preprint arXiv:2402.10500, 2024	20*	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	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	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	9	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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