Videos

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Sampling through optimization of divergences

Presenter
  • Anna Korba
May 9, 2024
ICERM
Algebraic Statistics and Disclosure Limitation Problems Thumbnail

Algebraic Statistics and Disclosure Limitation Problems

Presenter
  • Aleksandra Slavković
December 15, 2008
SLMath

Gravitational wave inference and stochastic sampling

Presenter
  • Colm Talbot
June 4, 2025
ICERM
Connections Workshop: Probability and Statistics of Discrete Structures: Sampling Colorings with Flip Dynamics Thumbnail

Connections Workshop: Probability and Statistics of Discrete Structures: Sampling Colorings with Flip Dynamics

Presenter
  • Charlie Carlson
January 24, 2025
SLMath
Homotopy Continuation Techniques for Optimization in Variational Inference Thumbnail

Homotopy Continuation Techniques for Optimization in Variational Inference

Presenter
  • Emma Cobian
December 15, 2023
IMSI
A Brief Introduction to Nested Sampling Thumbnail

A Brief Introduction to Nested Sampling

Presenter
  • Joshua Speagle
November 17, 2021
IPAM
Tractable Experiment Design via Mathematical Surrogates Thumbnail

Tractable Experiment Design via Mathematical Surrogates

Presenter
  • Brian Williams
February 24, 2016
IMA
Sampling with kernelized Wasserstein gradient flows Thumbnail

Sampling with kernelized Wasserstein gradient flows

Presenter
  • Anna Korba
May 20, 2022
IMSI

Fast non-reversible samplers for Bayesian mixture models

Presenter
  • Filippo Ascolani
January 14, 2026
ICERM

Exact Gibbs sampling for SDEs with unit diffusion coefficient

Presenter
  • VInayak Rao
January 12, 2026
ICERM
Source characterization of individual compact binary coalescences using Bayesian inference Thumbnail

Source characterization of individual compact binary coalescences using Bayesian inference

Presenter
  • Sylvia Biscoveanu
September 20, 2021
IPAM
The best we can do with MCMC, and how to do better. Thumbnail

The best we can do with MCMC, and how to do better.

Presenter
  • Colin Fox
June 6, 2011
IMA