Morris Yau

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Generalized Linear Models

Normal Distribution

Top Venues

Electron. Colloquium Comput. Complex.

Publications

Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems. CoRR (2023)
Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau
A New Approach to Learning Linear Dynamical Systems. CoRR (2023)
Morris Yau, Eric Lu, Nikolaos Karalias, Jessica Xu, Stefanie Jegelka
Are Graph Neural Networks Optimal Approximation Algorithms? CoRR (2023)
Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems. ICML (2023)
Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau
A New Approach to Learning Linear Dynamical Systems. STOC (2023)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. FOCS (2022)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Kalman filtering with adversarial corruptions. STOC (2022)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. FOCS (2021)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Kalman Filtering with Adversarial Corruptions. CoRR (2021)
Morris Yau
Approximating Nash Equilibrium in Random Graphical Games. CoRR (2021)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability. CoRR (2020)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability. NeurIPS (2020)
Prasad Raghavendra, Morris Yau
List Decodable Subspace Recovery. COLT (2020)
Prasad Raghavendra, Morris Yau
List Decodable Learning via Sum of Squares. SODA (2020)
Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau
List Decodable Mean Estimation in Nearly Linear Time. CoRR (2020)
Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau
List Decodable Mean Estimation in Nearly Linear Time. FOCS (2020)
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. CoRR (2020)
Prasad Raghavendra, Morris Yau
List Decodable Subspace Recovery. CoRR (2020)
Prasad Raghavendra, Morris Yau
List Decodable Learning via Sum of Squares. CoRR (2019)
Morris Yau
Almost Cubic Bound for Depth Three Circuits in VP. Electron. Colloquium Comput. Complex. 23 (2016)