Videos

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Fast non-reversible samplers for Bayesian mixture models

Presenter
  • Filippo Ascolani
January 14, 2026
ICERM
Robinson Cortes-Huerto - Electron transfer process at the electrode/electrolyte solution interface Thumbnail

Robinson Cortes-Huerto - Electron transfer process at the electrode/electrolyte solution interface

Presenter
  • Robinson Cortes-Huerto
September 17, 2025
IPAM
Lin Lin - Single-ancilla ground state preparation via Lindbladians - IPAM at UCLA Thumbnail

Lin Lin - Single-ancilla ground state preparation via Lindbladians - IPAM at UCLA

Presenter
  • Lin Lin
October 4, 2023
IPAM
Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods Thumbnail

Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods

Presenter
  • Robin Kothari
October 2, 2023
IPAM
Fast methods for conditional simulation Thumbnail

Fast methods for conditional simulation

Presenter
  • Douglas Nychka
August 31, 2022
IMSI
Strongly log concave polynomials, high dimensional simplicial complexes, and an FPRAS for counting Bases of Matroids Thumbnail

Strongly log concave polynomials, high dimensional simplicial complexes, and an FPRAS for counting Bases of Matroids

Presenter
  • Shayan Oveis Gharan
February 25, 2019
IAS

Sample Average Approximation for Stochastic Programs

Presenter
  • David Morton
August 8, 2016
IMA
Cross-entropy minimization, optimal control and importance sampling of rare events Thumbnail

Cross-entropy minimization, optimal control and importance sampling of rare events

Presenter
  • Carsten Hartmann
January 20, 2016
IPAM
Evolution and Learning Dynamics of Costly Signals Thumbnail

Evolution and Learning Dynamics of Costly Signals

Presenter
  • Moshe Hoffman
January 7, 2014
IPAM
Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling Thumbnail

Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling

July 22, 2013
IPAM

Inference in Mixed-Effects (and other) Models Through Profiling the Objective

Presenter
  • Douglas Bates
February 20, 2012
MBI
Lecture 2. Mathematical problems parametrized by a finite number of input random variables (finite dimensional case). Perturbation techniques and second order moment analysis. Sampling methods: Monte Carlo and variants; convergence analysis Thumbnail

Lecture 2. Mathematical problems parametrized by a finite number of input random variables (finite dimensional case). Perturbation techniques and second order moment analysis. Sampling methods: Monte Carlo and variants; convergence analysis

Presenter
  • Raul Tempone
October 16, 2010
IMA