PAC-Bayes with Backprop

19 August 2019

Papers citing "PAC-Bayes with Backprop"

9 / 9 papers shown

Title
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu Yijie Zhang Badr-Eddine Chérief-Abdellatif Yevgeny Seldin 68 2 0 23 May 2024
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 134 113 0 05 Jun 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors Gintare Karolina Dziugaite Daniel M. Roy MLT 65 145 0 26 Dec 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent Ben London 44 79 0 19 Sep 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 607 0 29 Jul 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 148 1,255 0 27 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 2017
A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann Christian Igel Olivier Wintenberger Yevgeny Seldin 48 83 0 19 Aug 2016
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 185 1,886 0 20 May 2015