| The limits of maxing, ranking, and preference learning M Falahatgar, A Jain, A Orlitsky, V Pichapati, V Ravindrakumar International Conference on Machine Learning, 1427-1436, 2018 | 34 | 2018 |
| Optimal robust learning of discrete distributions from batches A Jain, A Orlitsky International Conference on Machine Learning, 4651-4660, 2020 | 20 | 2020 |
| A general method for robust learning from batches A Jain, A Orlitsky Advances in Neural Information Processing Systems 33, 21775-21785, 2020 | 20 | 2020 |
| The price of tolerance in distribution testing CL Canonne, A Jain, G Kamath, J Li Conference on Learning Theory, 573-624, 2022 | 10 | 2022 |
| Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free A Jain, A Orlitsky International Conference on Machine Learning, 4698-4708, 2021 | 9 | 2021 |
| Robust estimation for random graphs J Acharya, A Jain, G Kamath, AT Suresh, H Zhang Conference on Learning Theory, 130-166, 2022 | 8 | 2022 |
| SURF: A simple, universal, robust, fast distribution learning algorithm Y Hao, A Jain, A Orlitsky, V Ravindrakumar Advances in Neural Information Processing Systems 33, 10881-10890, 2020 | 8 | 2020 |
| Robust estimation algorithms don't need to know the corruption level A Jain, A Orlitsky, V Ravindrakumar arXiv preprint arXiv:2202.05453, 2022 | 7 | 2022 |
| Efficient list-decodable regression using batches A Das, A Jain, W Kong, R Sen International Conference on Machine Learning, 7025-7065, 2023 | 4 | 2023 |
| Effective Memory Shrinkage in Estimation A Jain, H Tyagi 2018 IEEE International Symposium on Information Theory (ISIT), 1071-1075, 2018 | 4 | 2018 |
| On optimality and redundancy of side information version of SWLZ A Jain, RK Bansal 2017 IEEE International Symposium on Information Theory (ISIT), 306-310, 2017 | 3 | 2017 |
| Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources A Jain, RK Bansal 2015 IEEE Information Theory Workshop (ITW), 1-5, 2015 | 3 | 2015 |
| On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm A Jain, RK Bansal 2016 IEEE Information Theory Workshop (ITW), 116-120, 2016 | 2 | 2016 |
| On redundancy rate of FDLZ algorithm and its variants A Jain, RK Bansal 2015 IEEE International Symposium on Information Theory (ISIT), 1991-1995, 2015 | 2 | 2015 |
| Linear Regression using Heterogeneous Data Batches A Jain, R Sen, W Kong, A Das, A Orlitsky arXiv preprint arXiv:2309.01973, 2023 | 1 | 2023 |
| Linear-Sample Learning of Low-Rank Distributions A Jain, A Orlitsky Advances in Neural Information Processing Systems 33, 2020 | 1 | 2020 |
| Scaling laws for learning with real and surrogate data A Jain, A Montanari, E Sasoglu arXiv preprint arXiv:2402.04376, 2024 | | 2024 |
| Learning in the Presence of Adversaries A Jain University of California, San Diego, 2023 | | 2023 |
| TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm Y Hao, A Jain, A Orlitsky, V Ravindrakumar International Conference on Machine Learning, 8427-8445, 2022 | | 2022 |
| Exponential rates of convergence for waiting times and generalized AEP A Jain, RK Bansal 2015 IEEE Information Theory Workshop (ITW), 1-5, 2015 | | 2015 |
Vaishakh RavindrakumarMeta Platforms Inc.Verified email at meta.com
