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Séminaire Recherche Sur le campus

Gaussian Processes in Machine Learning

Viacheslav Borovitskiy (ETH Zürich)

Publié le 05 oct. 2022
Lieu
Internef, 123
Format
Présentiel

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.


Organisation

HEC-DSA

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