R3MC: A Riemannian three-factor algorithm for low-rank matrix completion

11 June 2013

Papers citing "R3MC: A Riemannian three-factor algorithm for low-rank matrix completion"

10 / 10 papers shown

Title
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang Zhizhong Li Wayne Zhang 33 3 0 03 Aug 2023
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties David Martínez-Rubio Sebastian Pokutta 35 9 0 26 Nov 2022
GNMR: A provable one-line algorithm for low rank matrix recovery Pini Zilber B. Nadler 52 14 0 24 Jun 2021
Faster Randomized Methods for Orthogonality Constrained Problems B. Shustin H. Avron 24 2 0 22 Jun 2021
Rank $2r$ iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries Jonathan Bauch B. Nadler Pini Zilber 37 14 0 05 Feb 2020
Tensor Completion Algorithms in Big Data Analytics Qingquan Song Hancheng Ge James Caverlee Xia Hu 34 229 0 28 Nov 2017
Riemannian Tensor Completion with Side Information Tengfei Zhou Hui Qian Zebang Shen Congfu Xu 19 4 0 12 Nov 2016
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications Haoran Chen Yanfeng Sun Junbin Gao Yongli Hu Baocai Yin 14 1 0 21 Sep 2016
A Riemannian gossip approach to decentralized matrix completion Bamdev Mishra Hiroyuki Kasai Atul Saroop 31 3 0 23 May 2016
Riemannian preconditioning for tensor completion Hiroyuki Kasai Bamdev Mishra 27 10 0 06 Jun 2015