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Spectrally-normalized margin bounds for neural networks
v1v2 (latest)

Spectrally-normalized margin bounds for neural networks

26 June 2017
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
    ODL
ArXiv (abs)PDFHTML

Papers citing "Spectrally-normalized margin bounds for neural networks"

11 / 811 papers shown
Title
Network-size independent covering number bounds for deep networks
Mayank Kabra
K. Branson
23
0
0
02 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
143
866
0
29 Oct 2017
SGD Learns Over-parameterized Networks that Provably Generalize on
  Linearly Separable Data
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus
Amir Globerson
Eran Malach
Shai Shalev-Shwartz
MLT
163
279
0
27 Oct 2017
Rethinking generalization requires revisiting old ideas: statistical
  mechanics approaches and complex learning behavior
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
Charles H. Martin
Michael W. Mahoney
AI4CE
77
64
0
26 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
320
9,825
0
25 Oct 2017
Implicit Regularization in Deep Learning
Implicit Regularization in Deep Learning
Behnam Neyshabur
75
148
0
06 Sep 2017
The duality structure gradient descent algorithm: analysis and
  applications to neural networks
The duality structure gradient descent algorithm: analysis and applications to neural networks
Thomas Flynn
35
3
0
01 Aug 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur
Srinadh Bhojanapalli
Nathan Srebro
94
610
0
29 Jul 2017
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
201
423
0
16 Jul 2017
Exploring Generalization in Deep Learning
Exploring Generalization in Deep Learning
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
FAtt
169
1,260
0
27 Jun 2017
Deep Exploration via Randomized Value Functions
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
116
307
0
22 Mar 2017
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