Videos

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Analyzing stochastic models Thumbnail

Analyzing stochastic models

Presenter
  • Thomas Kurtz
May 11, 2008
IMA
Random Source and Sinks for Stochastic Dynamical Systems Thumbnail

Random Source and Sinks for Stochastic Dynamical Systems

Presenter
  • Peter Baxendale
March 30, 2007
SLMath
Anton Dochtermann - Interval complexes, linear resolutions, & spaces of digraph maps - IPAM at UCLA Thumbnail

Anton Dochtermann - Interval complexes, linear resolutions, & spaces of digraph maps - IPAM at UCLA

Presenter
  • Anton Dochtermann
February 10, 2025
IPAM
Introductory Workshop: Probability and Statistics of Discrete Structures: Graphs, Markov chains, and branching distributional equations Thumbnail

Introductory Workshop: Probability and Statistics of Discrete Structures: Graphs, Markov chains, and branching distributional equations

Presenter
  • Mariana Olvera-Cravioto
January 28, 2025
SLMath
Isotopies and Squeezing of Monotone Lagrangian Tori Thumbnail

Isotopies and Squeezing of Monotone Lagrangian Tori

Presenter
  • Richard Hind
December 3, 2024
IAS

Aspects of the Cutoff Phenomenon for Diffusions

Presenter
  • Djalil Chafai
September 14, 2024
ICERM
Introductory Workshop: Algorithms, Fairness, and Equity: "Markov Chains and Redistricting" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Markov Chains and Redistricting"

Presenter
  • Sarah Cannon
August 31, 2023
SLMath
Advances in Distribution Compression Thumbnail

Advances in Distribution Compression

Presenter
  • Lester Mackey
August 25, 2023
IMSI
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning Thumbnail

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

Presenter
  • Rene Carmona
May 26, 2022
IMSI
Neural SDEs: Deep Generative Models in the Diffusion Limit Thumbnail

Neural SDEs: Deep Generative Models in the Diffusion Limit

Presenter
  • Maxim Raginsky
May 19, 2020
IAS
Variational approximation of dynamical systems using machine learning Thumbnail

Variational approximation of dynamical systems using machine learning

Presenter
  • Frank Noé
February 11, 2019
IPAM
Competing sources of variance reduction in parallel replica Monte Carlo, and optimization in the low temperature limit Thumbnail

Competing sources of variance reduction in parallel replica Monte Carlo, and optimization in the low temperature limit

Presenter
  • Paul Dupuis
November 16, 2017
IPAM