Provisional program 2025
The plenary room is the DESCARTES room
Sunday, August 31th
18.00 - 21:00 : Welcome and dinner from 19:30 until 21:00 (cold buffet in self-service)
Monday, September 1st
08.45 - 9:00 : Welcome and delivery of badges
09:00 - 10:30 : Lecture 1 by John Duchi
10:30 - 11:00 : Break
11:00 - 12:20 : Contributed talks Privacy and Robustness
- Alexander Kent. Rate optimality and phase transition for user-level local differential privacy.
- Màté Kormos. Private double robust inference.
- Thomas Michel. DP-SPRT: differentially private sequential probability ratio tests.
- Richard Schwank. Robust score matching
12:30 -13.30 : Lunch
15:30 - 17:00 : Lecture 1 by Po-Ling Loh
17:00 - 17:30 : Break
17:30 - 19:00 : Invited talk "Some latent variable models in ecology" by Stéphane Robin.
19:15 : Friendly aperitif and Dinner
Tuesday, September 2nd
09:00 - 10:30 : Lecture 2 by Po-Ling Loh
10:30 - 11:00 : Break
11:00 - 12:30 : Lecture 2 by John Duchi
12:30) 13.30 : Lunch
15:30 - 17:00 : Invited talk "Interplay between data, physics and simulation models with a link to industrial use-cases" by Mathilde Mougeot.
17:00 - 17:30 : Break
17:30 - 18:00: Flash talks (2 minutes per speaker)
18:15 - 19:15: Poster Discussion
19:30 : Provencal Dinner
Wednesday, September 3rd
09:00 - 10:30 : Lecture 3 by John Duchi
10:30 - 11:00 : Break
11:00 - 12:30 : Lecture 3 by Po-Ling Loh
12:30 -13:30 : Lunch
14:30 - 19:30 : Free time / Activities
19:30 : Dinner
Thursday, September 4th
09:00 - 10:30 : Lecture 4 by Po-Ling Loh
10:30 - 11:00 : Break
11:00 - 12:20 : Contributed talks Robustness and optimisation
- Renaud Gaucher. A unified breakdown analysis for Byzantine robust Gossip.
- Laurentiu Marchis. On the benefits of accelerated optimization in robust and private estimation.
- El Mehdi Saad. New lower bounds for stochastic non-convex optimization through divergence decomposition.
- Laura Hucker. Comparing regularisation paths of (conjugate) gradient estimators in ridge regression.
12:30 - 13.30 : Lunch
15:30 - 17:00 : Lecture 4 by John Duchi
17:00 - 17:30 : Break
17:30 - 18:50 : Contributed talks Applied statistics
- Matthieu Texier. Combining mixture models and Markov chains to explore spatio-temporal dynamics of child wasting in southern Madagascar.
- Tom Rohmer. Improving genetic parameter estimation for dependent traits under selection.
- Marina Gomtsyan. Variable selection in specific regression for count time series
- Christophe Ley. A versatile trivariate wrapped Cauchy copula with applications to toroidal and cylindrical data.
19:30 : Dinner
Friday, September 5th
09:00 - 10:20 : Contributed talks Unsupervised learning
- Bertrand Even. Computational lower bounds for latent variables: clustering, sparse clustering and biclustering.
- Victor Thuot. Clustering items through bandit feedback: finding the right feature out of many
- Ibrahim Kaddouri. Clustering in slowly mixing Gaussian hidden Markov models.
10:20 - 10:40 : Break
10:40 - 11:40 : Contributed talks Statistical inference
- Paul Rognon-Vael. Improving variable selection properties by using external data.
- Sophia Loizidou. Optimal tests for symmetry on the torus.
- Philippe Berthet. Some recent applications of Gaussian couplings in empirical process theory.
12:00 : Lunch and leaving