Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

29 December 2016

Papers citing "Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization"

8 / 8 papers shown

Title
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 102 79 0 18 Oct 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator Qi Cai Mingyi Hong Yongxin Chen Zhaoran Wang 21 34 0 11 Jan 2019
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps S. Du Surbhi Goel MLT 25 17 0 20 May 2018
The Global Optimization Geometry of Shallow Linear Neural Networks Zhihui Zhu Daniel Soudry Yonina C. Eldar M. Wakin ODL 18 36 0 13 May 2018
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling Mehdi Bahri Yannis Panagakis S. Zafeiriou 37 14 0 22 Mar 2017
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing Ming Lin Jieping Ye 37 21 0 21 Aug 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers Huishuai Zhang Yuejie Chi Yingbin Liang 19 55 0 11 Mar 2016