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: A (condensed) primer on
Slides: https://1five9.github.io/slides/learning/11.pdf.
Summary & Highlights for Pac Bayes
- The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ...
- So
- Gintare Karolina Dziugaite (Element AI) https://simons.berkeley.edu/talks/tbd-77 Frontiers of Deep Learning.
- In this video, we discuss the
- Workshop on Theory of Deep Learning: Where next? Topic:
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