Gavin Zhang

According to our database, Gavin Zhang authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization.

Gavin Zhang, Salar Fattahi, Richard Y. Zhang

CoRR, April, 2025

Simple Alternating Minimization Provably Solves Complete Dictionary Learning.

Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang

SIAM J. Math. Data Sci., 2025

2023

Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification.

Gavin Zhang, Salar Fattahi, Richard Y. Zhang

J. Mach. Learn. Res., 2023

Fast and Minimax Optimal Estimation of Low-Rank Matrices via Non-Convex Gradient Descent.

Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang

CoRR, 2023

2022

Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion.

Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang

CoRR, 2022

2020

How Many Samples is a Good Initial Point Worth?

Gavin Zhang, Richard Y. Zhang

CoRR, 2020