Learning One-hidden-layer Neural Networks with Landscape Design

1 November 2017

Papers citing "Learning One-hidden-layer Neural Networks with Landscape Design"

24 / 24 papers shown

Title
Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang Linyun He Chunchuan Lyu Shay B. Cohen MLT OffRL 90 1 0 17 Aug 2020
On the Optimization Landscape of Tensor Decompositions Rong Ge Tengyu Ma 82 91 0 18 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 96 336 0 10 Jun 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation Yuanzhi Li Yang Yuan MLT 66 649 0 28 May 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Rong Ge Chi Jin Yi Zheng 111 435 0 03 Apr 2017
How to Escape Saddle Points Efficiently Chi Jin Rong Ge Praneeth Netrapalli Sham Kakade Michael I. Jordan ODL 140 834 0 02 Mar 2017
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis Yuandong Tian MLT 90 216 0 02 Mar 2017
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs Alon Brutzkus Amir Globerson MLT 77 313 0 26 Feb 2017
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 50 398 0 14 Nov 2016
Gradient Descent Learns Linear Dynamical Systems Moritz Hardt Tengyu Ma Benjamin Recht 87 239 0 16 Sep 2016
The Landscape of Empirical Risk for Non-convex Losses Song Mei Yu Bai Andrea Montanari 28 312 0 22 Jul 2016
No bad local minima: Data independent training error guarantees for multilayer neural networks Daniel Soudry Y. Carmon 97 235 0 26 May 2016
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 46 597 0 24 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro ODL 50 388 0 23 May 2016
Deep Learning without Poor Local Minima Kenji Kawaguchi ODL 124 919 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 264 10,149 0 16 Mar 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely Roy Frostig Y. Singer 74 343 0 18 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
When Are Nonconvex Problems Not Scary? Ju Sun Qing Qu John N. Wright 55 166 0 21 Oct 2015
$$\ell_1$-regularized Neural Networks are Improperly Learnable in Polynomial Time$ $\ell_1$ -regularized Neural Networks are Improperly Learnable in Polynomial Time Yuchen Zhang Jason D. Lee Michael I. Jordan 105 102 0 13 Oct 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 110 1,056 0 06 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 257 43,154 0 11 Feb 2015
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 56 479 0 05 Oct 2014
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 48 333 0 23 Oct 2013