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PAC-Bayesian Margin Bounds for Convolutional Neural Networks

PAC-Bayesian Margin Bounds for Convolutional Neural Networks

Konstantinos Pitas
Mike Davies
P. Vandergheynst
    BDL
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Papers citing "PAC-Bayesian Margin Bounds for Convolutional Neural Networks"

4 / 4 papers shown
Title
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruosong Wang
MLT
35
961
0
24 Jan 2019
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?
S. Du
Yining Wang
Xiyu Zhai
Sivaraman Balakrishnan
Ruslan Salakhutdinov
Aarti Singh
SSL
13
57
0
21 May 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
Wenda Zhou
Victor Veitch
Morgane Austern
Ryan P. Adams
Peter Orbanz
27
209
0
16 Apr 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
35
39
0
05 Feb 2018