Media Summary: The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ... This short video details the methods and results from a model predictive Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Learning.
Pac Bayes Control For Obstacle Avoidance - Detailed Analysis & Overview
The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ... This short video details the methods and results from a model predictive Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Learning. Speakers: Andrew Foong, David Burt, Javier Antoran Abstract: Gintare Karolina Dziugaite (Element AI) Frontiers of Deep Learning. From Flat Minima to Numerically Nonvacuous Generalization Bounds via PAC-Bayes (Talk)
