Introduction to Pac Bayes
Exploring Pac Bayes reveals several interesting facts. Speakers: Andrew Foong, David Burt, Javier Antoran Abstract:
Pac Bayes Comprehensive Overview
... Abstract: The A (condensed) primer on
In this session, we dive into the foundations of supervised learning and statistical learning theory. This lecture covers core ...
Summary & Highlights for Pac Bayes
- The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ...
- 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:
- So
- Abstract: The
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