Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers

22 November 2017

Papers citing "Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers"

7 / 7 papers shown

Title
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes Lei Wu Zhanxing Zhu E. Weinan ODL 62 221 0 30 Jun 2017
Deep Relaxation: partial differential equations for optimizing deep neural networks Pratik Chaudhari Adam M. Oberman Stanley Osher Stefano Soatto G. Carlier 135 154 0 17 Apr 2017
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond Levent Sagun Léon Bottou Yann LeCun UQCV 84 236 0 22 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 96 773 0 06 Nov 2016
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 103 599 0 24 May 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 121 526 0 22 Feb 2016
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 54 202 0 26 Apr 2015