Discretized Langevin diffusions are efficient Monte Carlo methods for sampling from high dimensional target densities that are log-Lipschitz-smooth and (strongly) log-concave. In particular, the Euclidean Langevin Monte Carlo sampling algorithm has received much attention lately, leading to a detailed understanding of its non-asymptotic converge...
Day 4: Transport theory leads to a natural metric of the space of probability densities that in turn leads to a natural Riemannian structure. We will describe some of the basic geometric concepts such as Ricci curvature, and see how this methodology allows one to define a notion of curvature on rather general metric spaces. We will describe appl...
Creator:
Tannenbaum, Allen (State University of New York, Stony Brook (SUNY))
Created:
2014-06-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Wastelands and Wilderness. The central component of Peter Galison's work involves the exploration of twentieth century microphysics (atomic, nuclear, and particle physics). In particular, he examines physics as a closely interconnected set of scientific subcultures: experimenters, instrument makers, and theorists. In this talk he discusses the s...
Creator:
Institute for Advanced Study
Contributor:
Galison, Peter
Created:
2009-01-23
Contributed By:
University of Minnesota, Institute for Advanced Study.
This is an episode of the Causenetic podcast, created by staff members of the YMCA of Metropolitan Dallas from 2019 to 2023. The podcast focused on promoting awareness of the YMCA’s mission to new audiences and providing conversation, inspiration, and influence on various timely community topics. The description that accompanied this Causenetic ...
Creator:
Ross, Rodrigua; Vinson, Keith
Contributor:
Leonard, La Shae; Frederick, David; YMCA of Metropolitan Dallas
Created:
2020-11-16
Contributed By:
University of Minnesota Libraries, Kautz Family YMCA Archives.
