Videos

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Tutorial: Path recovery from signature feature representation

Presenter
  • Weixin Yang
July 8, 2021
ICERM
Foundations of Data Science: Mind the Gaps Thumbnail

Foundations of Data Science: Mind the Gaps

Presenter
  • Vasant Honavar
September 14, 2016
IMA
Locating Outliers in Large Matrices with Adaptive Compressive Sampling Thumbnail

Locating Outliers in Large Matrices with Adaptive Compressive Sampling

Presenter
  • Jarvis Haupt
December 8, 2015
IMA
Recommender Systems for Fun and Profit Thumbnail

Recommender Systems for Fun and Profit

Presenter
  • Chris Volinsky
April 13, 2011
IMA
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA Thumbnail

Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA

Presenter
  • Rongjie Lai
July 15, 2025
IPAM
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment" Thumbnail

Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"

Presenter
  • Kosuke Imai
October 24, 2023
SLMath
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization Thumbnail

Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization

Presenter
  • Jens Eisert
October 17, 2023
IPAM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning Thumbnail

Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning

Presenter
  • Samuel Blau
May 1, 2023
IPAM

Data science for social equality

Presenter
  • Emma Pierson
March 10, 2021
ICERM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Thumbnail

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Presenter
  • Daniel Kuhn
February 26, 2020
IPAM
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
Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis Thumbnail

Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis

Presenter
  • Lukas Pospisil
November 1, 2019
IPAM