Videos

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Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints Thumbnail

Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints

Presenter
  • Wesley Pegden
October 23, 2023
SLMath
Gaussian rough paths, transportation-cost inequalities and multilevel Monte Carlo Thumbnail

Gaussian rough paths, transportation-cost inequalities and multilevel Monte Carlo

Presenter
  • Sebastian Riedel
January 29, 2014
IPAM
Simulations of solvent effects using combined QM/MM methods Thumbnail

Simulations of solvent effects using combined QM/MM methods

Presenter
  • Jiali Gao
December 7, 2008
IMA
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
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