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PRODID:-//University of Utah Math Department//Gradient flows for sampling and their deterministic interacting particle approximations//EN
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X-WR-CALNAME:Gradient flows for sampling and their deterministic interacting particle approximations
X-WR-CALDESC:Gradient flows for sampling and their deterministic interacting particle approximations at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20250327T160000-dejan-slepcev@math.utah.edu
DTSTART;TZID=America/Denver:20250327T160000
DTEND;TZID=America/Denver:20250327T170000
DTSTAMP:20260922T150858Z
SUMMARY:Gradient flows for sampling and their deterministic interacting particle approximations
DESCRIPTION:Speaker: Dejan Slepcev\, Carnegie Mellon University\n\nMotivated by the task of sampling measures in high dimensions we will discuss a several gradient flows in the spaces of measures, including the Wasserstein gradient flows of Maximum Mean Discrepancy and relative entropy, the Stein Variational Gradient Descent and a new Radon-Wasserstein gradient …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2025-03-27-dejan-slepcev/
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