|
| | Welcome and foreword. 9:30-10:15 a.m. |
| | Kernel based distances and applications in statistics and ML (B.Sriperumbudur). Part 1. 10:15-11:45 am |
| | Invited talk. Clément Levrard. Robust Clustering and topological inference with Bregman Divergences. 11:45-12:30 a.m. |
| | Optimal transport and fair learning (JM Loubès). Part 1. 02:00-03:30 p.m. |
| | Invited talks. Mohamed Hebiri. Fairness guarantee in multi-class classification. 4:00-4:45 p.m. |
| | Invited talks. Thibault Le Gouic. Sampler for the Wasserstein barycenter. 4:45-5:30 p.m. |
| | Reception city hall. 6:00 pm |
|
| | Kernel based distances and applications in statistics and ML (B.Sriperumbudur). Part 2. 9:00-10:30 a.m. |
| | Invited talks. Romain Tavenard. Optimal Transport on Graphs. 11:00-11:45 a.m. |
| | Invited talks. Grégoire Mialon. Designing Graph Transformers with Kernel Methods. 11:45-12:30 a.m. |
| | Optimal transport and fair learning (JM Loubès). Part 2. 02:00-03:30 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. |
| | Contributed talks. Anthony Nwachukwu. Algorithms for Separable Problems. 04:30-05:00 p.m. |
|
| | Optimal transport distances and domain adaptation (L. Chapel, N. Courty et R. Flamary). Part 1. 9:00-10:30 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. Vincent Divol. Statistical optimal transport in high dimension under certain structural assumptions. 11:45-12:30 a.m. |
| | Optimal transport distances and domain adaptation. Practical session. 02:00-05:00 p.m. |
|
| | Kernel and optimal transport-based Generative Adversarial Neural networks (A. Gretton). Part 1. 09:00-10:30 a.m. |
| | Invited talks. Ugo Tanielian. Generative Adversarial Networks: understanding optimality and geometric properties of Wasserstein GANs (WGANs). 11:00-11:45 a.m. |
| | Invited talks. Kimia Nadjahi. 11:45-12:30 a.m. |
| | Optimal transport distances and domain adaptation (L. Chapel, N. Courty et R. Flamary). Part 2. 02:00-03:30 p.m. |
| | Contributed talks. Joachim Bona-Pellissier. The Question of Identifiability for Deep ReLU Neural Networks. 04:00-04:30 p.m. |
| | Contributed talks. Thibault Modeste. Translation Invariant Maximum Mean Discrepancy and Wasserstein Distance. 04:30-05:00 p.m. |
| | Gala Dinner - FRAC Bretagne 7:00-11:30 p.m. |
|
| | Kernel and optimal transport-based Generative Adversarial Neural networks (A. Gretton). Part 2. 9:00-10:30 a.m. |
| | Invited talk. Anna Korba. Sampling with kernelized Wasserstein gradient flows. 11:00-11:45 a.m. |
| | Closing. 11:45-12:15 a.m. |
