PAC-Bayesian Margin Bounds for Convolutional Neural Networks

PAC-Bayesian Margin Bounds for Convolutional Neural Networks

30 December 2017

Konstantinos Pitas

Mike Davies

P. Vandergheynst

Papers citing "PAC-Bayesian Margin Bounds for Convolutional Neural Networks"

5 / 5 papers shown

Title
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Kyungsu Kim A. Lozano Eunho Yang AAML 35 0 0 02 Jul 2020
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 55 961 0 24 Jan 2019
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 21 57 0 21 May 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou Victor Veitch Morgane Austern Ryan P. Adams Peter Orbanz 44 209 0 16 Apr 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 41 39 0 05 Feb 2018