Search Results for author: Yuanxin Li

Found 3 papers, 0 papers with code

Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing

no code implementations13 Jan 2021 Cong Ma, Yuanxin Li, Yuejie Chi

Low-rank matrix estimation plays a central role in various applications across science and engineering.

Nonconvex Matrix Factorization from Rank-One Measurements

no code implementations17 Feb 2018 Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi

We consider the problem of recovering low-rank matrices from random rank-one measurements, which spans numerous applications including covariance sketching, phase retrieval, quantum state tomography, and learning shallow polynomial neural networks, among others.

Quantum State Tomography Retrieval

Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent

no code implementations23 Sep 2017 Yuanxin Li, Yuejie Chi, Huishuai Zhang, Yingbin Liang

Recent work has demonstrated the effectiveness of gradient descent for directly recovering the factors of low-rank matrices from random linear measurements in a globally convergent manner when initialized properly.

Cannot find the paper you are looking for? You can Submit a new open access paper.