Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing

25 April 2022

Papers citing "Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing"

5 / 5 papers shown

Title
Efficient and Robust Regularized Federated Recommendation Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 40 2 0 03 Nov 2024
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Dominik Stoger Yizhe Zhu 32 2 0 20 Aug 2024
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression Koki Okajima Takashi Takahashi 14 2 0 07 Feb 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval Tyler Maunu M. Molina-Fructuoso 16 0 0 21 Nov 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing Xingyu Xu Yandi Shen Yuejie Chi Cong Ma 40 36 0 02 Feb 2023