| 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 | 508 | 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 | 206 | 2018 |
| 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 | 186 | 2019 |
| Robust regression via hard thresholding K Bhatia, P Jain, P Kar Advances in neural information processing systems 28, 2015 | 176 | 2015 |
| 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 | 173* | 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 | 123 | 2019 |
| Consistent Robust Regression. K Bhatia, P Jain, P Kamalaruban, P Kar NIPS 2017, 2017 | 109 | 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 | 105 | 2018 |
| Ask me anything: A simple strategy for prompting language models S Arora, A Narayan, MF Chen, L Orr, N Guha, K Bhatia, I Chami, F Sala, ... arXiv preprint arXiv:2210.02441, 2022 | 71 | 2022 |
| The effects of reward misspecification: Mapping and mitigating misaligned models A Pan, K Bhatia, J Steinhardt arXiv preprint arXiv:2201.03544, 2022 | 51 | 2022 |
| Adaptive hard thresholding for near-optimal consistent robust regression AS Suggala, K Bhatia, P Ravikumar, P Jain Conference on Learning Theory, 2892-2897, 2019 | 44 | 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 | 19* | 2018 |
| 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 | 12 | 2020 |
| On the Sensitivity of Reward Inference to Misspecified Human Models J Hong, K Bhatia, A Dragan arXiv preprint arXiv:2212.04717, 2022 | 10 | 2022 |
| Bayesian robustness: A nonasymptotic viewpoint K Bhatia, YA Ma, AD Dragan, PL Bartlett, MI Jordan Journal of the American Statistical Association, 1-12, 2023 | 9 | 2023 |
| Online learning with dynamics: A minimax perspective K Bhatia, K Sridharan Advances in Neural Information Processing Systems 33, 15020-15030, 2020 | 9 | 2020 |
| Lazy generic cuts D Khandelwal, K Bhatia, C Arora, P Singla Computer Vision and Image Understanding 143, 80-91, 2016 | 9 | 2016 |
| 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 | 4 | 2022 |
| Explaining robot policies OG Watkins, SH Huang, J Frost, K Bhatia, E Weiner, P Abbeel, T Darrell, ... Applied AI Letters, 2021 | 4 | 2021 |
| Embroid: Unsupervised prediction smoothing can improve few-shot classification N Guha, MF Chen, K Bhatia, A Mirhoseini, F Sala, C Ré arXiv preprint arXiv:2307.11031, 2023 | 3 | 2023 |
