Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1506.07540
Cited By
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
24 June 2015
B. Haeffele
René Vidal
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Global Optimality in Tensor Factorization, Deep Learning, and Beyond"
33 / 83 papers shown
Title
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora
Nadav Cohen
Elad Hazan
129
488
0
19 Feb 2018
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
95
88
0
19 Feb 2018
Robust Kronecker Component Analysis
Mehdi Bahri
Yannis Panagakis
Stefanos Zafeiriou
83
29
0
18 Jan 2018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran
Ohad Shamir
186
265
0
24 Dec 2017
Mathematics of Deep Learning
René Vidal
Joan Bruna
Raja Giryes
Stefano Soatto
OOD
65
120
0
13 Dec 2017
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
S. Du
Jason D. Lee
Yuandong Tian
Barnabás Póczós
Aarti Singh
MLT
160
236
0
03 Dec 2017
Optimization Landscape and Expressivity of Deep CNNs
Quynh N. Nguyen
Matthias Hein
101
29
0
30 Oct 2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza
Pietro Morerio
B. Haeffele
Connor Lane
Vittorio Murino
René Vidal
126
42
0
13 Oct 2017
When is a Convolutional Filter Easy To Learn?
S. Du
Jason D. Lee
Yuandong Tian
MLT
62
130
0
18 Sep 2017
Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information
Peng Xu
Farbod Roosta-Khorasani
Michael W. Mahoney
131
214
0
23 Aug 2017
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le
Raksha Kumaraswamy
Martha White
OffRL
SSL
60
25
0
26 Jul 2017
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
114
148
0
26 Jul 2017
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi
Adel Javanmard
Jason D. Lee
201
423
0
16 Jul 2017
Reexamining Low Rank Matrix Factorization for Trace Norm Regularization
C. Ciliberto
Dimitris Stamos
Massimiliano Pontil
102
10
0
27 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Peter L. Bartlett
Inderjit S. Dhillon
MLT
186
337
0
10 Jun 2017
The loss surface of deep and wide neural networks
Quynh N. Nguyen
Matthias Hein
ODL
188
285
0
26 Apr 2017
Deep Relaxation: partial differential equations for optimizing deep neural networks
Pratik Chaudhari
Adam M. Oberman
Stanley Osher
Stefano Soatto
G. Carlier
163
154
0
17 Apr 2017
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
Mehdi Bahri
Yannis Panagakis
Stefanos Zafeiriou
74
14
0
22 Mar 2017
Curriculum Dropout
Pietro Morerio
Jacopo Cavazza
Riccardo Volpi
René Vidal
Vittorio Murino
ODL
140
106
0
18 Mar 2017
Depth Creates No Bad Local Minima
Haihao Lu
Kenji Kawaguchi
ODL
FAtt
102
121
0
27 Feb 2017
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus
Amir Globerson
MLT
182
313
0
26 Feb 2017
How ConvNets model Non-linear Transformations
Dipan K. Pal
Marios Savvides
102
0
0
24 Feb 2017
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
108
775
0
06 Nov 2016
Understanding Deep Neural Networks with Rectified Linear Units
R. Arora
A. Basu
Poorya Mianjy
Anirbit Mukherjee
PINN
206
644
0
04 Nov 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
A. Gautier
Quynh N. Nguyen
Matthias Hein
131
32
0
28 Oct 2016
Master's Thesis : Deep Learning for Visual Recognition
Rémi Cadène
Nicolas Thome
Matthieu Cord
119
4
0
18 Oct 2016
Convexified Convolutional Neural Networks
Yuchen Zhang
Percy Liang
Martin J. Wainwright
168
65
0
04 Sep 2016
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
214
236
0
26 May 2016
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
86
309
0
26 May 2016
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen
Rajeev Ranjan
Swami Sankaranarayanan
Amit Kumar
Ching-Hui Chen
Vishal M. Patel
Carlos D. Castillo
Rama Chellappa
CVBM
100
97
0
09 May 2016
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
92
27
0
20 Nov 2015
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran
Ohad Shamir
99
127
0
13 Nov 2015
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen
Or Sharir
Amnon Shashua
91
472
0
16 Sep 2015
Previous
1
2