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Schedule

The conference will start at 9:30 on Wednesday 1st and end at 15:00 on Friday 3rd.

Wednesday, June 1st

9:30-10:15 Welcome

10:20-11:10 Pierre Monmarché
Non-asymptotic analysis of HMC and Langevin diffusion for MCMC

11:10 -12:00 André Belotto
A general system of differential equations to model first order adaptative algorithms: Application to Adam

Lunch at Foyer Darwin map here

14:00-14:50 Alain Durmus
Non-equilibrium sampling

14:50-15:40 Joris Bierkens
Piecewise deterministic Monte Carlo in infinite dimensions

Coffee break

16:10-17:00 Elsa Cazelle
A novel notion of barycenter for probability distributions based on optimal weak mass transport

17:00-17:50 Jean-François Jabir
Penalization methods for diffusion processes with weak constraints

Thursday, June 2nd

09:00-9:50 Sébastien Gadat
Stochastic Gauss-Newton algorithm for optimal transport

9:50-10:40 Lukasz Szpruch
Mean-field perspective on training neural networks - Part 1 (lecture)

Coffee break

11:10-12:00 Claire Boyer
Is interpolation benign in random forests?

Lunch at Foyer Darwin map here

14:00-14:50 Manon Michel
Computational complexity reduction by factorization in MCMC

14:50-15:40 Gabriel Peyré
Computational optimal transport - Part 1 (lecture)

Coffee break

16:10-17:00 Teddy Furon
Robustness and Security in Machine Learning: the example of image classification

17:00-17:50 Raphael Pinot
Demystifying byzantine robust machine learning

19:45 Dinner at La Réserve map here

Friday, June 3rd

09:00-9:50 Gabriel Peyré
Computational optimal transport - Part 2 (lecture)

9:50-10:40 Lukasz Szpruch
Mean-field perspective on training neural networks - Part 2 (lecture)

Coffee break

11:10-12:00 Clarisse Poon
Smooth bilevel programming for sparse regularization

Lunch at Foyer Darwin map here