Gaussian Processes in Machine Learning

Viacheslav Borovitskiy (ETH Zürich)

Vendredi 11 novembre 2022 - 11h00 à 12h00

Internef 123

Gaussian random fields (Gaussian processes) are beautiful mathematical objects that are useful in a number of areas outside of pure mathematics. In machine learning, they are widely accepted as a model of choice in scenarios where decision making under uncertainty is required e.g. in black-box optimization and reinforcement learning. In this talk I will briefly overview Gaussian processes as a machine learning tool and discuss some of their real-world applications.

Publié du 5 octobre 2022 au 12 novembre 2022
HEC-DSA
Visibilité:
archivée