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