Internship and thesis proposals
Statistical physics of learning algorithms

Domaines
Statistical physics

Type of internship
Théorique, numérique
Description
The purpose of this internship is to study via statistical physics methods the performances and properties of learning algorithms. An example is stochastic gradient descent which is the workhorse of optimization in high dimension and that is fundamental for the deep learning technology.
Contact
Pierfrancesco Urbani
Laboratory : IPhT -
Team : Statistical and condensed matter physics
Team Website
/ Thesis :    Funding :