In this seminar, Bharath Sriperumbudur will talk about the Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity.
In this seminar, Mikael Johansson will introduce an efficient algorithm for regularized optimal transport, a crucial technique in various domains.
Exceptional scientific seminar: “Towards general and flexible audio source separation and transcription”, by Jonathan Le Roux (MERL)
Exceptional scientific seminar: “Towards private and practical federated learning”, by Jan Ramon (MAGNET (Machine learniNG in large-scale information NETworks) group at Inria-Lille)
Exceptional scientific seminar: “Creating a New Paradigm for Research on Social Media”, by Chris Bail (Duke University and Director of the Duke Polarization Lab.)
Exceptional scientific seminar: “Pathfinder: Quasi-Newton Variational Inference”, by Bob Carpenter (Flatiron Institute, Center for Computational Mathematics)
Exceptional scientific seminar: “Recent advances in robust machine learning”, by Masashi Sugiyama (RIKEN-AIP / The University of Tokyo)
Proposed scientific seminar: “Conformal prediction beyond exchangeability”, by Aaditya Ramdas
Exceptional scientific seminar: “Non-Euclidean Differentially Private Stochastic Convex Optimization”, byCristobal Guzman
Exceptional scientific seminar: “Measuring and Enhancing Robustness in Deep Learning Based Compressive Sensing”, by Reinhard Heckel
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