Introduction to Pac Bayes
Exploring Pac Bayes reveals several interesting facts. Speakers: Andrew Foong, David Burt, Javier Antoran Abstract:
Pac Bayes Comprehensive Overview
A (condensed) primer on The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ... Abstract: The
Abstract: The
Summary & Highlights for Pac Bayes
- ...
- Workshop on Theory of Deep Learning: Where next? Topic:
- So
- Gintare Karolina Dziugaite (Element AI) https://simons.berkeley.edu/talks/tbd-77 Frontiers of Deep Learning.
- Contributed talk:Entropy-SG(L)D Optimizes the Prior of a (Valid) PAC-Bayes Bound
Stay tuned for more updates related to Pac Bayes.