| Sparse local embeddings for extreme multi-label classification K Bhatia, H Jain, P Kar, M Varma, P Jain Advances in neural information processing systems 28, 2015 | 416 | 2015 |
| Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma Advances in neural information processing systems 31, 2018 | 164 | 2018 |
| Robust regression via hard thresholding K Bhatia, P Jain, P Kar Advances in neural information processing systems 28, 2015 | 134 | 2015 |
| Derivative-free methods for policy optimization: Guarantees for linear quadratic systems D Malik, A Pananjady, K Bhatia, K Khamaru, P Bartlett, M Wainwright The 22nd international conference on artificial intelligence and statistics …, 2019 | 130 | 2019 |
| The extreme classification repository: Multi-label datasets and code K Bhatia, K Dahiya, H Jain, A Mittal, Y Prabhu, M Varma URL http://manikvarma. org/downloads/XC/XMLRepository. html, 2016 | 103* | 2016 |
| Politex: Regret bounds for policy iteration using expert prediction Y Abbasi-Yadkori, P Bartlett, K Bhatia, N Lazic, C Szepesvari, G Weisz International Conference on Machine Learning, 3692-3702, 2019 | 87 | 2019 |
| Consistent Robust Regression. K Bhatia, P Jain, P Kamalaruban, P Kar NIPS 2017, 2017 | 70 | 2017 |
| Establishing appropriate trust via critical states SH Huang, K Bhatia, P Abbeel, AD Dragan RSJ International Conference on Intelligent Robots and Systems (IROS), 3929-3936, 2018 | 65 | 2018 |
| Adaptive hard thresholding for near-optimal consistent robust regression AS Suggala, K Bhatia, P Ravikumar, P Jain Conference on Learning Theory, 2892-2897, 2019 | 26 | 2019 |
| Gen-Oja: A Two-time-scale approach for Streaming CCA K Bhatia, A Pacchiano, N Flammarion, PL Bartlett, MI Jordan arXiv preprint arXiv:1811.08393, 2018 | 14* | 2018 |
| Lazy generic cuts D Khandelwal, K Bhatia, C Arora, P Singla Computer Vision and Image Understanding 143, 80-91, 2016 | 9 | 2016 |
| The effects of reward misspecification: Mapping and mitigating misaligned models A Pan, K Bhatia, J Steinhardt arXiv preprint arXiv:2201.03544, 2022 | 5 | 2022 |
| Preference learning along multiple criteria: A game-theoretic perspective K Bhatia, A Pananjady, P Bartlett, A Dragan, MJ Wainwright Advances in neural information processing systems 33, 7413-7424, 2020 | 4 | 2020 |
| Bayesian robustness: A nonasymptotic viewpoint K Bhatia, YA Ma, AD Dragan, PL Bartlett, MI Jordan arXiv preprint arXiv:1907.11826, 2019 | 4 | 2019 |
| Agnostic Learning with Unknown Utilities K Bhatia, PL Bartlett, AD Dragan, J Steinhardt 12th Innovations in Theoretical Computer Science Conference (ITCS 2021) 185, 55, 2021 | 2 | 2021 |
| Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws K Bhatia, W Guo, J Steinhardt | 1 | 2021 |
| Explaining robot policies OG Watkins, SH Huang, J Frost, K Bhatia, E Weiner, P Abbeel, T Darrell, ... Applied AI Letters, 2021 | 1 | 2021 |
| Online learning with dynamics: A minimax perspective K Bhatia, K Sridharan Advances in Neural Information Processing Systems 33, 15020-15030, 2020 | 1 | 2020 |
| Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection K Bhatia, NL Kuang, YA Ma, Y Wang arXiv preprint arXiv:2207.11208, 2022 | | 2022 |
| Congested Bandits: Optimal Routing via Short-term Resets P Awasthi, K Bhatia, S Gollapudi, K Kollias International Conference on Machine Learning, 1078-1100, 2022 | | 2022 |
