Videos

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Predictive Models of Running

Presenter
  • John Guckenheimer
May 24, 2015
MBI
Identifiability of Statistical Models with Latent Symmetries Thumbnail

Identifiability of Statistical Models with Latent Symmetries

Presenter
  • Leonard Schulman
November 7, 2023
IMSI
Algorithmic Thresholds for Mean-Field Spin Glasses Thumbnail

Algorithmic Thresholds for Mean-Field Spin Glasses

Presenter
  • Mark Sellke
September 23, 2022
IAS
Can ML Help in Solving Cargo Capacity Management Booking Control Problems? Thumbnail

Can ML Help in Solving Cargo Capacity Management Booking Control Problems?

Presenter
  • Emma Frejinger
February 23, 2021
IPAM
A Variational Perspective on Accelerated Methods in Optimization Thumbnail

A Variational Perspective on Accelerated Methods in Optimization

Presenter
  • Michael Jordan
May 18, 2016
IMA
Solving SDPs by using sparse PCA Thumbnail

Solving SDPs by using sparse PCA

Presenter
  • Santanu Dey
February 24, 2021
IPAM
Stochastic homogenization of a class of nonconvex viscous HJ equations in one space dimension Thumbnail

Stochastic homogenization of a class of nonconvex viscous HJ equations in one space dimension

Presenter
  • Elena Kosygina
May 19, 2020
IPAM
Combinatorial Witnesses for Congruences of Restricted Partition Functions via Ehrhart Theory Thumbnail

Combinatorial Witnesses for Congruences of Restricted Partition Functions via Ehrhart Theory

Presenter
  • Felix Breuer
November 13, 2014
IMA
Trefftz-discontinuous Galerkin methods for time-harmonic wave problems Thumbnail

Trefftz-discontinuous Galerkin methods for time-harmonic wave problems

Presenter
  • Ilaria Perugia
November 2, 2010
IMA
Team 4: Problems associated with remotely sensing wind speed Thumbnail

Team 4: Problems associated with remotely sensing wind speed

Presenter
  • John Hoffman
August 5, 2009
IMA
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA Thumbnail

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

Presenter
  • Andrew Christlieb
March 13, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA Thumbnail

Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA

Presenter
  • Andrew Blumberg
February 26, 2026
IPAM