Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

Accompanying code for a paper

Repository and website for the joint research team '6PAC' ("Making Probably Approximately Correct Learning Active, Sequential, Structure-aware, Efficient, Ideal and Safe") between CWI and Inria

Repository and website for the NIPS 2017 workshop "(Almost) 50 shades of Bayesian Learning: PAC-Bayesian trends and insights"

Repository and website for the ICML 2019 tutorial "A Primer on PAC-Bayesian Learning"

Code for: "Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability"

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

PAC-Bayesian Binary Activated Deep Neural Networks

Code for Generalization Guarantees for (Multi-Modal) Imitation Learning

[TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022

Code for the paper "Something for (almost) nothing: improving deep ensemble calibration using unlabeled data"

PAC-Bayes generalization certificates for ICP