| List decodable learning via sum of squares P Raghavendra, M Yau Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 86 | 2020 |
| List decodable mean estimation in nearly linear time Y Cherapanamjeri, S Mohanty, M Yau 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 38 | 2020 |
| Online and distribution-free robustness: Regression and contextual bandits with huber contamination S Chen, F Koehler, A Moitra, M Yau 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 37 | 2022 |
| List decodable subspace recovery P Raghavendra, M Yau Conference on Learning Theory, 3206-3226, 2020 | 28 | 2020 |
| Classification under misspecification: Halfspaces, generalized linear models, and connections to evolvability S Chen, F Koehler, A Moitra, M Yau arXiv preprint arXiv:2006.04787, 2020 | 20 | 2020 |
| A new approach to learning linear dynamical systems A Bakshi, A Liu, A Moitra, M Yau Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 335-348, 2023 | 19 | 2023 |
| Classification under misspecification: Halfspaces, generalized linear models, and evolvability S Chen, F Koehler, A Moitra, M Yau Advances in Neural Information Processing Systems 33, 8391-8403, 2020 | 18 | 2020 |
| Kalman filtering with adversarial corruptions S Chen, F Koehler, A Moitra, M Yau Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 10 | 2022 |
| Tensor decompositions meet control theory: learning general mixtures of linear dynamical systems A Bakshi, A Liu, A Moitra, M Yau International Conference on Machine Learning, 1549-1563, 2023 | 7 | 2023 |
| Almost cubic bound for depth three circuits in VP M Yau Electronic Colloquium on Computational Complexity (ECCC) 23 (187), 9, 2016 | 5 | 2016 |
| Learning Linear Attention in Polynomial Time M Yau, E Akyürek, J Mao, JB Tenenbaum, S Jegelka, J Andreas arXiv preprint arXiv:2410.10101, 2024 | 1 | 2024 |
| Approximating Nash Equilibrium in Random Graphical Games M Yau arXiv preprint arXiv:2112.03442, 2021 | 1 | 2021 |
| Are Graph Neural Networks Optimal Approximation Algorithms? EH Lu, N Karalias, J Xu, S Jegelka | | 2023 |
| Measures in Algebraic Complexity M Yau | | 2017 |
Ankur MoitraNorbert Wiener Professor of Mathematics, MITAdresse e-mail validée de mit.edu