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Morris Yau
Morris Yau
Verified email at mit.edu
Title
Cited by
Cited by
Year
List decodable learning via sum of squares
P Raghavendra, M Yau
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
862020
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
382020
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
372022
List decodable subspace recovery
P Raghavendra, M Yau
Conference on Learning Theory, 3206-3226, 2020
282020
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
202020
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
192023
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
182020
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
102022
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
72023
Almost cubic bound for depth three circuits in VP
M Yau
Electronic Colloquium on Computational Complexity (ECCC) 23 (187), 9, 2016
52016
Learning Linear Attention in Polynomial Time
M Yau, E Akyürek, J Mao, JB Tenenbaum, S Jegelka, J Andreas
arXiv preprint arXiv:2410.10101, 2024
12024
Approximating Nash Equilibrium in Random Graphical Games
M Yau
arXiv preprint arXiv:2112.03442, 2021
12021
Are Graph Neural Networks Optimal Approximation Algorithms?
M Yau, N Karalias, E Lu, J Xu, S Jegelka
Advances in Neural Information Processing Systems 37, 73124-73181, 2025
2025
Measures in Algebraic Complexity
M Yau
2017
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