Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Inference in Wasserstein Spaces and Optimal Transport Location: 0.004 Session Chair: Ansgar Steland | |
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Statistical Aspects of Optimal Transport: Regularization, Estimation, and Applications University of Twente, The Netherlands In recent years, statistical methodology based on optimal transport (OT) witnessed a considerable increase in practical and theoretical interest. A central reason for this trend is the ability of optimal transport to efficiently compare data in a geometrically meaningful way. This development was further amplified by computational advances spurred by the introduction of entropy regularized optimal transport (EOT). In applications, the OT or EOT cost are often estimated through an empirical plug-in approach, raising statistical questions about the performance and uncertainty of these estimators. This talk will survey recent theoretical and methodological insights to these topics and discusses future opportunities. This talk is based on joint work with Thomas Staudt, Marcel Klatt, Michel Groppe, Alberto-Gonzáles-Sanz, Gilles Mordant, Christoph Weitkamp, and Axel Munk. | |
