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Morris Yau
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2020 – today
- 2023
- [c8]Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau:
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems. ICML 2023: 1549-1563 - [c7]Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau:
A New Approach to Learning Linear Dynamical Systems. STOC 2023: 335-348 - [i11]Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau:
A New Approach to Learning Linear Dynamical Systems. CoRR abs/2301.09519 (2023) - [i10]Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau:
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems. CoRR abs/2307.06538 (2023) - [i9]Morris Yau, Eric Lu, Nikolaos Karalias, Jessica Xu, Stefanie Jegelka:
Are Graph Neural Networks Optimal Approximation Algorithms? CoRR abs/2310.00526 (2023) - 2022
- [c6]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Kalman filtering with adversarial corruptions. STOC 2022: 832-845 - 2021
- [c5]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. FOCS 2021: 684-695 - [i8]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Kalman Filtering with Adversarial Corruptions. CoRR abs/2111.06395 (2021) - [i7]Morris Yau:
Approximating Nash Equilibrium in Random Graphical Games. CoRR abs/2112.03442 (2021) - 2020
- [c4]Prasad Raghavendra, Morris Yau:
List Decodable Subspace Recovery. COLT 2020: 3206-3226 - [c3]Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau:
List Decodable Mean Estimation in Nearly Linear Time. FOCS 2020: 141-148 - [c2]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability. NeurIPS 2020 - [c1]Prasad Raghavendra, Morris Yau:
List Decodable Learning via Sum of Squares. SODA 2020: 161-180 - [i6]Prasad Raghavendra, Morris Yau:
List Decodable Subspace Recovery. CoRR abs/2002.03004 (2020) - [i5]Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau:
List Decodable Mean Estimation in Nearly Linear Time. CoRR abs/2005.09796 (2020) - [i4]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability. CoRR abs/2006.04787 (2020) - [i3]Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. CoRR abs/2010.04157 (2020)
2010 – 2019
- 2019
- [i2]Prasad Raghavendra, Morris Yau:
List Decodable Learning via Sum of Squares. CoRR abs/1905.04660 (2019) - 2016
- [i1]Morris Yau:
Almost Cubic Bound for Depth Three Circuits in VP. Electron. Colloquium Comput. Complex. TR16 (2016)
Coauthor Index
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