Supervised Graph Prediction: From Kernel to Optimal Transport Losses

Join Professor Florence d'Alché-Buc from Telecom Paris, Institut Polytechnique de Paris for a lecture on "Supervised Graph Prediction: from kernel to optimal transport losses." This seminar, part of the "Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning" (RCL) event series, explores advanced mathematical approaches to graph prediction problems. Scheduled for May 13th, 2025, from 10:30 to 11:30 at the Isaac Newton Institute Seminar Room 2, this presentation offers valuable insights for researchers and practitioners in mathematical sciences interested in the intersection of kernel methods and optimal transport theory applied to graph prediction challenges.