Videos

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Sample Average Approximation for Stochastic Programs

Presenter
  • David Morton
August 8, 2016
IMA
Massive Parallelization to Learn from Massive Data Thumbnail

Massive Parallelization to Learn from Massive Data

Presenter
  • Marc Suchard
June 25, 2013
IMA
Sparse subspace clustering Thumbnail

Sparse subspace clustering

Presenter
  • RenĂ© Vidal
October 6, 2009
IMA
A Geometric perspective on machine Learning Thumbnail

A Geometric perspective on machine Learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA

Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2026
IPAM

RALES: A Risk-Averse Augmented Lagrangian Equality-constrained SQP Method for Optimization with General Constraints

Presenter
  • Thomas Surowiec
April 15, 2026
ICERM
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: III Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: III

Presenter
  • Yingda Cheng
August 29, 2025
SLMath
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: II Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: II

Presenter
  • Yingda Cheng
August 28, 2025
SLMath
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: I Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: I

Presenter
  • Yingda Chen
August 26, 2025
SLMath
A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors. Thumbnail

A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors.

Presenter
  • Mirjeta Pasha
April 3, 2025
IMSI

Efficient Dynamical Low-Rank Methods for the Nonlinear Multiscale Boltzmann Equation

Presenter
  • Jingwei Hu
January 8, 2025
ICERM

Exploiting Structure via Nested Operator Inference in Physics-Based Learning

Presenter
  • Nicole Aretz
January 7, 2025
ICERM