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Porcupine Neural Networks: (Almost) All Local Optima are Global

Porcupine Neural Networks: (Almost) All Local Optima are Global

Soheil Feizi
Hamid Javadi
Jesse M. Zhang
David Tse
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Papers citing "Porcupine Neural Networks: (Almost) All Local Optima are Global"

6 / 6 papers shown
Title
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi
Adel Javanmard
Jason D. Lee
93
417
0
16 Jul 2017
Recovery Guarantees for One-hidden-layer Neural Networks
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
On the ability of neural nets to express distributions
On the ability of neural nets to express distributions
Holden Lee
Rong Ge
Tengyu Ma
Andrej Risteski
Sanjeev Arora
BDL
48
84
0
22 Feb 2017
Why Deep Neural Networks for Function Approximation?
Why Deep Neural Networks for Function Approximation?
Shiyu Liang
R. Srikant
57
383
0
13 Oct 2016
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
65
187
0
30 Apr 2015
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
103
180
0
11 Apr 2011