Contributed Session 4 (16h30:16h50) - Olivia Rousseau - The Avatar method: computation of synthetic data and application in health

Contributed Session 3 (16h30:16h50) - Marie-Félicia Beclin - Construction de modèles intelligents dans les données d’imagerie scanner de patients traités par benralizumab

Contributed Session 2 (12h10:12h30) - Hava Chaptoukaev - Assessing Multiple Imputation of Missing Values for Robust Analysis of Telehealth Kiosk Data

Contributed talks. Anthony Nwachukwu. Algorithms for Separable Problems. 04:30-05:00 p.m.

Invited talks. Mohamed Hebiri. Fairness guarantee in multi-class classification. 4:00-4:45 p.m.

Invited talk. Clément Levrard. Robust Clustering and topological inference with Bregman Divergences. 11:45-12:30 a.m.

Invited talks. Grégoire Mialon. Designing Graph Transformers with Kernel Methods. 11:45-12:30 a.m.

Invited talks. Claire Brecheteau. A statistical test of isomorphism between metric measure spaces based on nearest neighbours computation. 11:00-11:45 a.m.

Invited talks. Ugo Tanielian. Generative Adversarial Networks: understanding optimality and geometric properties of Wasserstein GANs (WGANs). 11:00-11:45 a.m.

Contributed talks. Joachim Bona-Pellissier. The Question of Identifiability for Deep ReLU Neural Networks. 04:00-04:30 p.m.

Contributed talks. Jean-Baptiste Fermanian. Stein's phenomenon for the multi-task averaging problem in high dimension. 04:00-04:30 p.m.

Invited talks. Romain Tavenard. Optimal Transport on Graphs. 11:00-11:45 a.m.

Contributed talks. Thibault Modeste. Translation Invariant Maximum Mean Discrepancy and Wasserstein Distance. 04:30-05:00 p.m.

Presentation of the best poster award

Contributed Session 3 (16h50:17h10) - Chiara Cordier Reductive - Discriminating Network: a new dimension reduction algorithm in context of binary classification

Optimal transport distances and domain adaptation (L. Chapel, N. Courty et R. Flamary). Part 1. 9:00-10:30 a.m.

Optimal transport distances and domain adaptation (L. Chapel, N. Courty et R. Flamary). Part 2. 02:00-03:30 p.m.

Kernel and optimal transport-based Generative Adversarial Neural networks (A. Gretton). Part 1. 09:00-10:30 a.m.

Welcome and foreword. 9:30-10:15 a.m.

Lunch break - End of poster session (room A)