| Trace reconstruction: Generalized and parameterized A Krishnamurthy, A Mazumdar, A McGregor, S Pal IEEE Transactions on Information Theory 67 (6), 3233-3250, 2021 | 45 | 2021 |
| The geometric block model S Galhotra, A Mazumdar, S Pal, B Saha Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 40 | 2018 |
| Sample complexity of learning mixture of sparse linear regressions A Krishnamurthy, A Mazumdar, A McGregor, S Pal Advances in Neural Information Processing Systems 32, 2019 | 19 | 2019 |
| Connectivity in random annulus graphs and the geometric block model S Galhotra, A Mazumdar, S Pal, B Saha arXiv preprint arXiv:1804.05013, 2018 | 17 | 2018 |
| Semisupervised clustering, and-queries and locally encodable source coding A Mazumdar, S Pal Advances in Neural Information Processing Systems 30, 2017 | 15 | 2017 |
| Same-cluster querying for overlapping clusters W Huleihel, A Mazumdar, M Médard, S Pal Advances in Neural Information Processing Systems 32, 2019 | 14 | 2019 |
| On learning mixture of linear regressions in the non-realizable setting S Pal, A Mazumdar, R Sen, A Ghosh International Conference on Machine Learning, 17202-17220, 2022 | 13 | 2022 |
| Recovery of sparse signals from a mixture of linear samples S Pal, A Mazumdar International Conference on Machine Learning, 7466-7475, 2020 | 12 | 2020 |
| Support recovery in universal one-bit compressed sensing A Mazumdar, S Pal arXiv preprint arXiv:2107.09091, 2021 | 11 | 2021 |
| Online low rank matrix completion P Jain, S Pal arXiv preprint arXiv:2209.03997, 2022 | 9 | 2022 |
| Lower bounds on the total variation distance between mixtures of two gaussians S Davies, A Mazumdar, S Pal, C Rashtchian International Conference on Algorithmic Learning Theory, 319-341, 2022 | 9 | 2022 |
| Learning user preferences in non-stationary environments W Huleihel, S Pal, O Shayevitz International Conference on Artificial Intelligence and Statistics, 1432-1440, 2021 | 9 | 2021 |
| Support recovery of sparse signals from a mixture of linear measurements S Pal, A Mazumdar, V Gandikota Advances in Neural Information Processing Systems 34, 19082-19094, 2021 | 8 | 2021 |
| Search result diversification with guarantee of topic proportionality SM Sarwar, R Addanki, A Montazeralghaem, S Pal, J Allan Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020 | 8 | 2020 |
| Recovery of sparse linear classifiers from mixture of responses V Gandikota, A Mazumdar, S Pal Advances in Neural Information Processing Systems 33, 14688-14698, 2020 | 8 | 2020 |
| Algebraic and analytic approaches for parameter learning in mixture models A Krishnamurthy, A Mazumdar, A McGregor, S Pal Algorithmic Learning Theory, 468-489, 2020 | 7 | 2020 |
| Optimal algorithms for latent bandits with cluster structure S Pal, AS Suggala, K Shanmugam, P Jain International Conference on Artificial Intelligence and Statistics, 7540-7577, 2023 | 6 | 2023 |
| Random subgraph detection using queries W Huleihel, A Mazumdar, S Pal Journal of Machine Learning Research 25 (126), 1-25, 2024 | 4 | 2024 |
| On learning mixture models with sparse parameters S Pal, A Mazumdar International Conference on Artificial Intelligence and Statistics, 9182-9213, 2022 | 3 | 2022 |
| Improved support recovery in universal one-bit compressed sensing N Matsumoto, A Mazumdar, S Pal IEEE Transactions on Information Theory, 2023 | 2 | 2023 |
Arya MazumdarUniversity of California, San Diego在 ucsd.edu 的电子邮件经过验证
