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Next couple of lectures i will be talking about deep Speakers: Andrew Foong, David Burt, Javier Antoran Abstract: Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in In this video, I give a short introduction into our current research paper " Hi this is going to be a much shorter unit the second unit on Andrew G. Wilson teaches us what it means to adopt a

Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... HYBRID EVENT Recorded during the meeting "End-to-end "Speakers: Torsten Scholak, Diego Maniloff There has been uprising of probabilistic programming and

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Part 1: generalization and PAC bayesian learning
Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile
An Introduction to PAC-Bayes
PAC Bayesian Learning and Domain Adaptation
PAC-Bayesian approaches to understanding generalization in deep learning - Gintare Dziugaite
AISTATS 2023: PAC-Bayesian Learning of Optimization Algorithms
Bayesian Machine Learning: A PyMC-Centric Introduction (Quan Nguyen)
PAC-Bayesian Contrastive Unsupervised Representation Learning
A (condensed) primer on PAC-Bayesian learning, followed by News from the PAC-Bayes frontline
The PAC-Bayes Guarantee
Lecture 5, Track II: Bayesian Machine Learning by Andrew Gordon Wilson
Part 2: PAC bayesian learning for deep learning

Deep Dive

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Last Updated: June 16, 2026

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Media Gallery

PAC-Bayesian Machine Learning: Learning by Optimizing a Performance Guarantee
[ML/DL] PAC-Bayesian Bound for Deep Learning Models
AI Explained – The Bayesian Approach To Machine Learning
Part 1: generalization and PAC bayesian learning
Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile
An Introduction to PAC-Bayes
PAC Bayesian Learning and Domain Adaptation
PAC-Bayesian approaches to understanding generalization in deep learning - Gintare Dziugaite