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1709.09625
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How regularization affects the critical points in linear networks
27 September 2017
Amirhossein Taghvaei
Jin-Won Kim
P. Mehta
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Papers citing
"How regularization affects the critical points in linear networks"
15 / 15 papers shown
Title
Implicit Regularization in Matrix Factorization
Suriya Gunasekar
Blake E. Woodworth
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
60
490
0
25 May 2017
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
53
399
0
14 Nov 2016
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
264
4,620
0
10 Nov 2016
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
173
3,198
0
15 Jun 2016
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
106
235
0
26 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
ODL
53
388
0
23 May 2016
Deep Learning without Poor Local Minima
Kenji Kawaguchi
ODL
149
922
0
23 May 2016
A Variational Perspective on Accelerated Methods in Optimization
Andre Wibisono
Ashia Wilson
Michael I. Jordan
80
572
0
14 Mar 2016
Gradient Descent Converges to Minimizers
Jason D. Lee
Max Simchowitz
Michael I. Jordan
Benjamin Recht
53
211
0
16 Feb 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Rong Ge
Furong Huang
Chi Jin
Yang Yuan
114
1,056
0
06 Mar 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
149
1,161
0
04 Mar 2015
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
AI4CE
63
655
0
20 Dec 2014
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
225
1,191
0
30 Nov 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Surya Ganguli
Yoshua Bengio
ODL
101
1,380
0
10 Jun 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
111
1,830
0
20 Dec 2013
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