Optimisation & Learning


The design of machines capable of intelligent comprehension and decision making is one of the major current scientific and technological challenges, calling for new models, new algorithms, and new analysis paradigms.

In this chair, we intend to leverage on optimization and game theory to make concrete advances on the mathematical foundations of AI.


See recent activities on http://dao-ljk.imag.fr/MIAI/

Chair events

Next workshop : https://www.di.ens.fr/~aspremon/OSL2021/

Scientific publications

Lastest publication:

Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling, Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos, NeurIPS 2020 (oral)

More on the website.