Introduction to Pac Bayes
Exploring Pac Bayes reveals several interesting facts. Abstract: The
Pac Bayes Comprehensive Overview
... is the Speakers: Andrew Foong, David Burt, Javier Antoran Abstract: The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ...
In this video, we discuss the
Summary & Highlights for Pac Bayes
- So
- Gintare Karolina Dziugaite (Element AI) https://simons.berkeley.edu/talks/tbd-77 Frontiers of Deep Learning.
- Workshop on Theory of Deep Learning: Where next? Topic:
- A (condensed) primer on
- NIPS 2016 spotlight Poster #29 (Mon Dec 5th) Manuscript: https://arxiv.org/abs/1605.08636 Slides: ...
Stay tuned for more updates related to Pac Bayes.