Sayak Ray Chowdhury
Sayak Ray Chowdhury
Postdoctoral associate, Boston University
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
On kernelized multi-armed bandits
SR Chowdhury, A Gopalan
International Conference on Machine Learning, 844-853, 2017
1822017
Misspecified linear bandits
A Ghosh, SR Chowdhury, A Gopalan
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
352017
Online learning in kernelized markov decision processes
SR Chowdhury, A Gopalan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
252019
Bayesian optimization under heavy-tailed payoffs
SR Chowdhury, A Gopalan
arXiv preprint arXiv:1909.07040, 2019
102019
No-regret algorithms for multi-task bayesian optimization
SR Chowdhury, A Gopalan
International Conference on Artificial Intelligence and Statistics, 1873-1881, 2021
62021
No-Regret Reinforcement Learning with Value Function Approximation: A Kernel Embedding Approach
SR Chowdhury, R Oliveira
arXiv preprint arXiv:2011.07881, 2020
32020
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
22021
Differentially Private Regret Minimization in Episodic Markov Decision Processes
SR Chowdhury, X Zhou
arXiv preprint arXiv:2112.10599, 2021
12021
Reinforcement Learning in Parametric MDPs with Exponential Families
SR Chowdhury, A Gopalan, OA Maillard
International Conference on Artificial Intelligence and Statistics, 1855-1863, 2021
12021
On Batch Bayesian Optimization
SR Chowdhury, A Gopalan
arXiv preprint arXiv:1911.01032, 2019
12019
A game theoretic approach to robust optimization
SR Chowdhury
Ph. D. dissertation, Indian Institute of Science Bangalore, 2015
12015
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes
A Ghosh, SR Chowdhury, K Ramchandran
arXiv preprint arXiv:2107.05849, 2021
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
2020
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