| On kernelized multi-armed bandits SR Chowdhury, A Gopalan International Conference on Machine Learning, 844-853, 2017 | 490 | 2017 |
| Thompson sampling for complex online problems A Gopalan, S Mannor, Y Mansour International conference on machine learning, 100-108, 2014 | 249 | 2014 |
| Thompson sampling for learning parameterized markov decision processes A Gopalan, S Mannor Conference on learning theory, 861-898, 2015 | 136 | 2015 |
| Collaborative learning of stochastic bandits over a social network RK Kolla, K Jagannathan, A Gopalan IEEE/ACM Transactions on Networking 26 (4), 1782-1795, 2018 | 86 | 2018 |
| On wireless scheduling with partial channel-state information A Gopalan, C Caramanis, S Shakkottai Proc. Ann. Allerton Conf. Communication, Control and Computing, 2007 | 84* | 2007 |
| Misspecified linear bandits A Ghosh, SR Chowdhury, A Gopalan Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 72 | 2017 |
| On the Whittle index for restless multiarmed hidden Markov bandits R Meshram, D Manjunath, A Gopalan IEEE Transactions on Automatic Control 63 (9), 3046-3053, 2018 | 71 | 2018 |
| Online learning in kernelized markov decision processes SR Chowdhury, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 53 | 2019 |
| Battle of Bandits. A Saha, A Gopalan UAI, 805-814, 2018 | 49 | 2018 |
| Stability and scalability of blockchain systems A Gopalan, A Sankararaman, A Walid, S Vishwanath Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (2 …, 2020 | 43 | 2020 |
| Combinatorial bandits with relative feedback A Saha, A Gopalan Advances in Neural Information Processing Systems 32, 2019 | 40 | 2019 |
| PAC battling bandits in the plackett-luce model A Saha, A Gopalan Algorithmic Learning Theory, 700-737, 2019 | 37 | 2019 |
| Epidemic spreading with external agents S Banerjee, A Gopalan, AK Das, S Shakkottai IEEE Transactions on Information Theory 60 (7), 4125-4138, 2014 | 36 | 2014 |
| Low-rank bandits with latent mixtures A Gopalan, OA Maillard, M Zaki arXiv preprint arXiv:1609.01508, 2016 | 35 | 2016 |
| Cornet: A co-simulation middleware for robot networks S Acharya, A Bharadwaj, Y Simmhan, A Gopalan, P Parag, H Tyagi 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2020 | 33 | 2020 |
| Optimizing distributed actor systems for dynamic interactive services A Newell, G Kliot, I Menache, A Gopalan, S Akiyama, M Silberstein Proceedings of the Eleventh European Conference on Computer Systems, 1-15, 2016 | 31 | 2016 |
| Active ranking with subset-wise preferences A Saha, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 30 | 2019 |
| Bayesian optimization under heavy-tailed payoffs S Ray Chowdhury, A Gopalan Advances in Neural Information Processing Systems 32, 2019 | 30 | 2019 |
| Optimal recommendation to users that react: Online learning for a class of POMDPs R Meshram, A Gopalan, D Manjunath 2016 IEEE 55th Conference on Decision and Control (CDC), 7210-7215, 2016 | 28 | 2016 |
| User rankings from comparisons: Learning permutations in high dimensions I Mitliagkas, A Gopalan, C Caramanis, S Vishwanath 2011 49th Annual Allerton Conference on Communication, Control, and …, 2011 | 28 | 2011 |
