| Robust estimation via robust gradient estimation A Prasad, AS Suggala, S Balakrishnan, P Ravikumar Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 259 | 2020 |
| Submodular meets structured: Finding diverse subsets in exponentially-large structured item sets A Prasad, S Jegelka, D Batra Advances in Neural Information Processing Systems 27, 2014 | 90 | 2014 |
| Robust linear regression: Optimal rates in polynomial time A Bakshi, A Prasad Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 70 | 2021 |
| Connecting optimization and regularization paths A Suggala, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 31, 2018 | 61 | 2018 |
| Revisiting adversarial risk AS Suggala, A Prasad, V Nagarajan, P Ravikumar The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 42* | 2019 |
| A unified approach to robust mean estimation A Prasad, S Balakrishnan, P Ravikumar arXiv preprint arXiv:1907.00927, 2019 | 39 | 2019 |
| On human-aligned risk minimization L Leqi, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 32, 2019 | 28 | 2019 |
| Uniform convergence of rank-weighted learning J Khim, L Leqi, A Prasad, P Ravikumar International Conference on Machine Learning, 5254-5263, 2020 | 27 | 2020 |
| A robust univariate mean estimator is all you need A Prasad, S Balakrishnan, P Ravikumar International Conference on Artificial Intelligence and Statistics, 4034-4044, 2020 | 27 | 2020 |
| On learning ising models under huber's contamination model A Prasad, V Srinivasan, S Balakrishnan, P Ravikumar Advances in neural information processing systems 33, 16327-16338, 2020 | 21 | 2020 |
| Studies on some biochemical constituents of blood in Ongole cows. DG Rao, ABA Prasad, VJ Krishna, KS Rao | 19 | 1981 |
| On proximal policy optimization’s heavy-tailed gradients S Garg, J Zhanson, E Parisotto, A Prasad, Z Kolter, Z Lipton, ... International Conference on Machine Learning, 3610-3619, 2021 | 13 | 2021 |
| Distributional rank aggregation, and an axiomatic analysis A Prasad, H Pareek, P Ravikumar International Conference on Machine Learning, 2104-2112, 2015 | 13 | 2015 |
| Fast classification rates for high-dimensional gaussian generative models T Li, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 28, 2015 | 12 | 2015 |
| Heavy-tailed streaming statistical estimation CP Tsai, A Prasad, S Balakrishnan, P Ravikumar International Conference on Artificial Intelligence and Statistics, 1251-1282, 2022 | 11 | 2022 |
| On separability of loss functions, and revisiting discriminative vs generative models A Prasad, A Niculescu-Mizil, PK Ravikumar Advances in Neural Information Processing Systems 30, 2017 | 6 | 2017 |
| Efficient Estimators for Heavy-Tailed Machine Learning V Srinivasan, A Prasad, S Balakrishnan, PK Ravikumar | 4 | 2021 |
| Towards Robust and Resilient Machine Learning A Prasad Carnegie Mellon University, 2022 | 3 | 2022 |
| Learning minimax estimators via online learning K Gupta, AS Suggala, A Prasad, P Netrapalli, P Ravikumar arXiv preprint arXiv:2006.11430, 2020 | 3 | 2020 |
| Learning Minimax Estimators via Online Learning AS Suggala, K Gupta, A Prasad, P Ravikumar | | |
