Zhang, Richard Y

8 publications

ICML 2025 SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming Hong-Ming Chiu, Hao Chen, Huan Zhang, Richard Y. Zhang

AISTATS 2024 Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent Jialun Zhang, Richard Y Zhang, Hong-Ming Chiu

ICLR 2024 Statistically Optimal $k$-Means Clustering via Nonnegative Low-Rank Semidefinite Programming Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang

JMLR 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification Gavin Zhang, Salar Fattahi, Richard Y. Zhang

ICML 2023 Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu, Richard Y. Zhang

NeurIPS 2022 Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion Jialun Zhang, Hong-Ming Chiu, Richard Y Zhang

NeurIPS 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization Jialun Zhang, Salar Fattahi, Richard Y Zhang

JMLR 2019 Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei