Almost Cubic Bound for Depth Three Circuits in VP. - Morris Yau (Electron. Colloquium Comput. Complex., 2016)

List Decodable Subspace Recovery. - Prasad Raghavendra; Morris Yau (COLT, 2020)

List Decodable Mean Estimation in Nearly Linear Time. - Yeshwanth Cherapanamjeri; Sidhanth Mohanty; Morris Yau (FOCS, 2020)

Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability. - Sitan Chen; Frederic Koehler; Ankur Moitra; Morris Yau (NeurIPS, 2020)

List Decodable Learning via Sum of Squares. - Prasad Raghavendra; Morris Yau (SODA, 2020)

Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability. - Sitan Chen; Frederic Koehler; Ankur Moitra; Morris Yau (CoRR, 2020)

Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. - Sitan Chen; Frederic Koehler; Ankur Moitra; Morris Yau (FOCS, 2021)

Approximating Nash Equilibrium in Random Graphical Games. - Morris Yau (CoRR, 2021)

Kalman filtering with adversarial corruptions. - Sitan Chen; Frederic Koehler; Ankur Moitra; Morris Yau (STOC, 2022)

Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems. - Ainesh Bakshi; Allen Liu; Ankur Moitra; Morris Yau (ICML, 2023)

A New Approach to Learning Linear Dynamical Systems. - Ainesh Bakshi; Allen Liu; Ankur Moitra; Morris Yau (STOC, 2023)

Are Graph Neural Networks Optimal Approximation Algorithms? - Morris Yau; Nikolaos Karalias; Eric Lu; Jessica Xu; Stefanie Jegelka (NeurIPS, 2024)

Learning Linear Attention in Polynomial Time. - Morris Yau; Ekin Akyürek; Jiayuan Mao; Joshua B. Tenenbaum; Stefanie Jegelka; Jacob Andreas (CoRR, 2024)

Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers. - Kazuki Irie; Morris Yau; Samuel J. Gershman (CoRR, 2025)

Sequential-Parallel Duality in Prefix Scannable Models. - Morris Yau; Sharut Gupta; Valerie Engelmayer; Kazuki Irie; Stefanie Jegelka; Jacob Andreas (CoRR, 2025)