Media Summary: Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Learning. NIPS 2017 workshop "(Almost) 50 Shades of Bayesian In this video, I give a short introduction into our current research paper "

Pac Bayesian Learning And Domain - Detailed Analysis & Overview

Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Learning. NIPS 2017 workshop "(Almost) 50 Shades of Bayesian In this video, I give a short introduction into our current research paper " Speakers: Andrew Foong, David Burt, Javier Antoran Abstract: NIPS 2016 spotlight Poster (Mon Dec 5th) Manuscript: Slides: ... Olivier Catoni - Dimension-free PAC-Bayesian Bounds (Talk)

Benjamin Guedj (2021), A (condensed) primer on

Photo Gallery

PAC Bayesian Learning and Domain Adaptation
The PAC-Bayes Guarantee
NIPS 2017 workshop "(Almost) 50 Shades of Bayesian Learning" - opening
PAC-Bayesian Machine Learning: Learning by Optimizing a Performance Guarantee
AISTATS 2023: PAC-Bayesian Learning of Optimization Algorithms
A (condensed) primer on PAC-Bayesian Learning
An Introduction to PAC-Bayes
CS 159 (Spring 2021) -- PAC-Bayesian Theory
NIPS 2016 spotlight - PAC Bayesian Theory Meets Bayesian Inference
A (condensed) primer on PAC-Bayesian learning, followed by News from the PAC-Bayes frontline
Pascal Germain (Université Laval) - PAC-Bayes Hypernetworks
Part 1: generalization and PAC bayesian learning
Sponsored
Sponsored
View Detailed Profile
Sponsored
Sponsored