Sayak Ray Chowdhury

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Aditya GopalanIndian Institute of Science, BangaloreEmail yang diverifikasi di iisc.ac.in
Xingyu ZhouAssistant Professor, Wayne State UniversityEmail yang diverifikasi di wayne.edu
Avishek GhoshAssistant Professor, Dept. of Computer Science & Engg., IIT BombayEmail yang diverifikasi di iitb.ac.in
Anush KiniMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaEmail yang diverifikasi di microsoft.com
Daman AroraCarnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Rafael OliveiraData61 (CSIRO), AustraliaEmail yang diverifikasi di data61.csiro.au
Odalric-Ambrym MaillardInria Lille - Nord EuropeEmail yang diverifikasi di inria.fr
Nirjhar DasMTech (Research), CSA, IIScEmail yang diverifikasi di iisc.ac.in
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsEmail yang diverifikasi di umd.edu
Aldo PacchianoBoston University and Broad Institute of MIT and HarvardEmail yang diverifikasi di bu.edu
Gaurav SinhaPrincipal Researcher at Microsoft ResearchEmail yang diverifikasi di microsoft.com
Amit SharmaPrincipal Researcher, Microsoft ResearchEmail yang diverifikasi di cornell.edu
Debangshu BanerjeeIndian Institute of ScienceEmail yang diverifikasi di iisc.ac.in
Patrick SauxPhD mathematics, Inria Scool and CRIStAL (CNRS)Email yang diverifikasi di inria.fr
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyEmail yang diverifikasi di eecs.berkeley.edu
Fabio RamosUniversity of Sydney and NVIDIAEmail yang diverifikasi di sydney.edu.au
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityEmail yang diverifikasi di osu.edu
Jian JiaoMicrosoftEmail yang diverifikasi di microsoft.com
Bhawna PaliwalMicrosoft ResearchEmail yang diverifikasi di microsoft.com

Ikuti

Sayak Ray Chowdhury

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

Email yang diverifikasi di cse.iitk.ac.in - Beranda

Machine Learning Multi-armed Bandits Reinforcement Learning Differential Privacy


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017	533	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	55	2019
Provably robust dpo: Aligning language models with noisy feedback SR Chowdhury, A Kini, N Natarajan ICML 2024, 2024	40	2024
Provably sample efficient rlhf via active preference optimization N Das, S Chakraborty, A Pacchiano, SR Chowdhury arXiv e-prints, arXiv: 2402.10500, 2024	30*	2024
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	26	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	25*	2023
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	22	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	19	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	15	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
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	8*	2023
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

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