| On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017 | 272 | 2017 |
| Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 46 | 2017 |
| Online learning in kernelized markov decision processes SR Chowdhury, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 33 | 2019 |
| Bayesian optimization under heavy-tailed payoffs S Ray Chowdhury, A Gopalan Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| No-regret algorithms for multi-task bayesian optimization SR Chowdhury, A Gopalan International Conference on Artificial Intelligence and Statistics, 1873-1881, 2021 | 10 | 2021 |
| No-regret reinforcement learning with value function approximation: a kernel embedding approach SR Chowdhury, R Oliveira arXiv preprint arXiv:2011.07881, 2020 | 8 | 2020 |
| 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 | 5 | 2022 |
| Shuffle private linear contextual bandits SR Chowdhury, X Zhou arXiv preprint arXiv:2202.05567, 2022 | 5 | 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 | 5 | 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 | 5 | 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 | 4 | 2020 |
| Bregman Deviations of Generic Exponential Families SR Chowdhury, P Saux, OA Maillard, A Gopalan arXiv preprint arXiv:2201.07306, 2022 | 3 | 2022 |
| Model Selection for Generic Reinforcement Learning A Ghosh, SR Chowdhury, K Ramchandran arXiv preprint arXiv:2107.05849, 2021 | 3 | 2021 |
| On Batch Bayesian Optimization SR Chowdhury, A Gopalan arXiv preprint arXiv:1911.01032, 2019 | 3 | 2019 |
| A game theoretic approach to robust optimization SR Chowdhury M.E. dissertation, Indian Institute of Science Bangalore, 2015 | 2 | 2015 |
| Distributed Differential Privacy in Multi-Armed Bandits SR Chowdhury, X Zhou arXiv preprint arXiv:2206.05772, 2022 | 1 | 2022 |
| Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference D Banerjee, A Ghosh, SR Chowdhury, A Gopalan arXiv preprint arXiv:2207.11597, 2022 | | 2022 |
| Model Selection in Reinforcement Learning with General Function Approximations A Ghosh, SR Chowdhury arXiv preprint arXiv:2207.02992, 2022 | | 2022 |
| Reinforcement Learning in Large and Structured Environments SR Chowdhury Indian Institute of Science, 2022 | | 2022 |
| Online Contextual Learning with Limited Feedback SR Chowdhury, A Gangrade, A Cutkosky, V Saligrama | | |
Aditya GopalanIndian Institute of Science, BangaloreVerified email at iisc.ac.in
