| 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 | 198 | 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 | 75 | 2014 |
| Role of direct immunofluorescence in dermatological disorders VV Mysorekar, TK Sumathy, ALS Prasad Indian dermatology online journal 6 (3), 172, 2015 | 49 | 2015 |
| 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 | 47 | 2021 |
| Connecting optimization and regularization paths A Suggala, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 31, 2018 | 45 | 2018 |
| Revisiting adversarial risk AS Suggala, A Prasad, V Nagarajan, P Ravikumar The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 31* | 2019 |
| A unified approach to robust mean estimation A Prasad, S Balakrishnan, P Ravikumar arXiv preprint arXiv:1907.00927, 2019 | 22 | 2019 |
| Uniform convergence of rank-weighted learning J Khim, L Leqi, A Prasad, P Ravikumar International Conference on Machine Learning, 5254-5263, 2020 | 16 | 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 | 15 | 2020 |
| On human-aligned risk minimization L Leqi, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 32, 2019 | 14 | 2019 |
| 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 | 13 | 2020 |
| Distributional rank aggregation, and an axiomatic analysis A Prasad, H Pareek, P Ravikumar International Conference on Machine Learning, 2104-2112, 2015 | 12 | 2015 |
| Fast classification rates for high-dimensional gaussian generative models T Li, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 28, 2015 | 10 | 2015 |
| 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 | 8 | 2021 |
| Acute-onset of multiple painful nodules over forearms and back P Kumar, SM Kamath, ALS Prasad, VV Mysorekar, TK Sumathy Journal of Clinical and Diagnostic Research: JCDR 7 (10), 2314, 2013 | 7 | 2013 |
| 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 |
| Biosortion of cadmium: equilibrium, kinetics and thermodynamics by Erythrina variegata orientalis leaf powder A Prasad, P Kumar Intern J Chem Eng Res 2, 173-180, 2010 | 6 | 2010 |
| Removal of copper using microsize coconut husk powder: equilibrium and kinetic studies A Prasad, SS Rao Nature, Environment and Pollution Technology 8 (2), 389-394, 2009 | 5 | 2009 |
| Heavy-tailed streaming statistical estimation CP Tsai, A Prasad, S Balakrishnan, P Ravikumar International Conference on Artificial Intelligence and Statistics, 1251-1282, 2022 | 3 | 2022 |
| Efficient Estimators for Heavy-Tailed Machine Learning V Srinivasan, A Prasad, S Balakrishnan, PK Ravikumar | 2 | 2021 |
