Videos

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A Story of Principal Component Analysis in the Distributed Model Thumbnail

A Story of Principal Component Analysis in the Distributed Model

Presenter
  • David Woodruff
May 16, 2016
IMA
Asynchronous Optimization in Networks: Novel Algorithms and Improved Performance Bounds Thumbnail

Asynchronous Optimization in Networks: Novel Algorithms and Improved Performance Bounds

Presenter
  • Mikael Johansson
October 21, 2015
IMA
Modeling Challenges for Credit Risk and Economic Forecasting Thumbnail

Modeling Challenges for Credit Risk and Economic Forecasting

Presenter
  • Bill Morokoff
May 21, 2015
IPAM
Learning Acid/Base Strength Thumbnail

Learning Acid/Base Strength

Presenter
  • Paul Ayers
February 27, 2015
IPAM
Some Recent Developments in Large-Scale Convex Optimization Thumbnail

Some Recent Developments in Large-Scale Convex Optimization

Presenter
  • Niao He
February 24, 2015
IMA
Recommender Systems for Fun and Profit Thumbnail

Recommender Systems for Fun and Profit

Presenter
  • Chris Volinsky
April 13, 2011
IMA
Fuqun Han - Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems Thumbnail

Fuqun Han - Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems

Presenter
  • Fuqun Han
July 23, 2025
IPAM
Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs Thumbnail

Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs

Presenter
  • Tingwei Meng
July 17, 2025
IPAM
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification Thumbnail

Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification

Presenter
  • Benjamin Zhang
July 15, 2025
IPAM
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA Thumbnail

Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA

Presenter
  • Lars Ruthotto
July 14, 2025
IPAM
Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models Thumbnail

Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models

Presenter
  • Dave Higdon
May 19, 2025
IMSI
Exploiting linear models for transferability and long-range interactions Thumbnail

Exploiting linear models for transferability and long-range interactions

Presenter
  • Julien Lam
April 11, 2024
IMSI