Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications

25 August 2017

Papers citing "Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications"

15 / 15 papers shown

Title
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms Guanpu Chen Gehui Xu Fengxiang He Yiguang Hong Leszek Rutkowski Dacheng Tao 93 5 0 19 Jan 2023
Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis Ganesh Ramachandra Kini V. Vakilian Tina Behnia 69 72 0 10 Aug 2022
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis Zixuan Li Hao Li KenLi Li Fan Wu L. Chen Keqin Li 133 0 0 23 Nov 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view Zhao Kang Zhiping Lin Xiaofeng Zhu Wenbo Xu 129 239 0 16 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 201 172 0 29 Jan 2021
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning Zhiyuan Li Yuping Luo Kaifeng Lyu 95 130 0 17 Dec 2020
A Survey on Concept Factorization: From Shallow to Deep Representation Learning Zhao Zhang Yan Zhang Mingliang Xu Li Zhang Yi Yang Shuicheng Yan 90 30 0 31 Jul 2020
Binary Component Decomposition Part I: The Positive-Semidefinite Case R. Kueng J. Tropp 65 12 0 31 Jul 2019
Binary component decomposition Part II: The asymmetric case R. Kueng J. Tropp 190 7 0 31 Jul 2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms Mahesh Chandra Mukkamala Peter Ochs 78 23 0 22 May 2019
Clustering with Similarity Preserving Zhao Kang Honghui Xu Boyu Wang Erik Cambria Zenglin Xu 116 57 0 21 May 2019
Bilinear Parameterization For Differentiable Rank-Regularization Marcus Valtonen Örnhag Carl Olsson A. Heyden 132 11 0 27 Nov 2018
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI Evan Schwab B. Haeffele René Vidal N. Charon OOD MedIm 42 2 0 15 Jul 2018
On the Implicit Bias of Dropout Poorya Mianjy R. Arora René Vidal 81 67 0 26 Jun 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization Jacopo Cavazza Pietro Morerio B. Haeffele Connor Lane Vittorio Murino René Vidal 118 42 0 13 Oct 2017