Videos

Start date cannot be after end date.
Functions with average smoothness: structure, algorithms, and learning Thumbnail

Functions with average smoothness: structure, algorithms, and learning

Presenter
  • Aryeh Kontorovich
April 12, 2021
IMSI
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations Thumbnail

Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations

Presenter
  • Nan Chen
October 31, 2022
IMSI
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
Improving Tropical Climate Simulations with Stochastic Models for Clouds Thumbnail

Improving Tropical Climate Simulations with Stochastic Models for Clouds

Presenter
  • Boualem Khouider
March 3, 2021
IMSI
Word Vectors in the Eighteenth Century Thumbnail

Word Vectors in the Eighteenth Century

Presenter
  • Ryan Heuser
May 25, 2016
IPAM
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks Thumbnail

The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks

Presenter
  • Kamalika Chaudhuri
April 16, 2021
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "The Complex Systems View of AI Ethics" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "The Complex Systems View of AI Ethics"

Presenter
  • Tina Eliassi-Rad
August 29, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Pretrial Risk Assessment on the Ground- Lessons from New Mexico" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Pretrial Risk Assessment on the Ground- Lessons from New Mexico"

Presenters
  • Cristopher Moore
  • Cristopher Moore
August 28, 2023
SLMath
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA Thumbnail

Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA

Presenter
  • Bartolomeo Stellato
March 1, 2023
IPAM
Statistical Learning Theory for Modern Machine Learning Thumbnail

Statistical Learning Theory for Modern Machine Learning

Presenter
  • John Shawe-Taylor
August 11, 2020
IAS
Clustering of discrete measures via mean measure quantization: application to unsupervised vectorization of persistence diagrams Thumbnail

Clustering of discrete measures via mean measure quantization: application to unsupervised vectorization of persistence diagrams

Presenter
  • Fred Chazal
March 23, 2023
IMSI
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models Thumbnail

Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models

Presenter
  • Chris Sutton
November 21, 2019
IPAM