Escaping From Saddle Points --- Online Stochastic Gradient for Tensor
Decomposition

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition

6 March 2015

Furong Huang

Papers citing "Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition"

11 / 211 papers shown

Title
Deep Learning without Poor Local Minima Kenji Kawaguchi ODL 19 917 0 23 May 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 21 390 0 17 Mar 2016
Noisy Activation Functions Çağlar Gülçehre Marcin Moczulski Misha Denil Yoshua Bengio 9 283 0 01 Mar 2016
Gradient Descent Converges to Minimizers J. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 32 212 0 16 Feb 2016
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 40 27 0 20 Nov 2015
When Are Nonconvex Problems Not Scary? Ju Sun Qing Qu John N. Wright 24 166 0 21 Oct 2015
On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations Jean Lafond Hoi-To Wai Eric Moulines 45 32 0 05 Oct 2015
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 33 202 0 26 Apr 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Qing Qu Ju Sun John N. Wright 16 111 0 15 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014
Eigenvectors of Orthogonally Decomposable Functions M. Belkin Luis Rademacher James R. Voss 26 7 0 05 Nov 2014