Videos

Start date cannot be after end date.

Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning

Presenter
  • Ben Leimkuhler
July 30, 2015
ICERM

Bayesian nonparametrics and g-computation for causal inference in observational studies

Presenter
  • Jason Roy
January 15, 2019
ICERM
Learning by investigation: A context for integrating statistics, mathematics, and computation Thumbnail

Learning by investigation: A context for integrating statistics, mathematics, and computation

Presenter
  • Jeff Knisley
June 30, 2010
IMA
Machine Learning the Exchange And Correlation Functional In DFT Thumbnail

Machine Learning the Exchange And Correlation Functional In DFT

Presenter
  • Marivi Fern\u00e1ndez-Serra
March 26, 2024
IMSI
Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA Thumbnail

Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA

Presenter
  • Wu Lin
October 14, 2024
IPAM
Nonlinear dimensionality reduction for faster kernel methods in machine learning. Thumbnail

Nonlinear dimensionality reduction for faster kernel methods in machine learning.

Presenter
  • Christopher Musco
February 12, 2018
IAS
On the Foundations of Distributionally Robust Reinforcement Learning Thumbnail

On the Foundations of Distributionally Robust Reinforcement Learning

Presenter
  • Jose Blanchet
February 5, 2024
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "New Challenges in Optimization for Ethical Decisions" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "New Challenges in Optimization for Ethical Decisions"

Presenter
  • Swati Gupta
August 29, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Included-Variable Bias and Everything but the Kitchen Sink" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Included-Variable Bias and Everything but the Kitchen Sink"

Presenter
  • Sharad Goel
August 28, 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
Physics-Informed Learning Machines Thumbnail

Physics-Informed Learning Machines

Presenter
  • Maziar Raissi
September 1, 2022
IMSI