Videos

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Wasserstein Information Geometry for Learning from Data (Part 1/2) Thumbnail

Wasserstein Information Geometry for Learning from Data (Part 1/2)

Presenter
  • Guido Montufar
March 14, 2019
IPAM
Ricci flows that attain their initial data weakly Thumbnail

Ricci flows that attain their initial data weakly

Presenter
  • Peter Topping
March 8, 2019
IAS

Learning spoken concepts from unlabeled audio-visual data

Presenter
  • Karen Livescu
February 18, 2019
ICERM
Mitigating noise artifacts in gravitational-wave detector data in the era of open public alerts Thumbnail

Mitigating noise artifacts in gravitational-wave detector data in the era of open public alerts

Presenter
  • Jess McIver
January 28, 2019
IPAM

Using incomplete electronic health record data to inform decision making in HIV and AIDS

Presenter
  • Giorgos Bakoyannis
January 17, 2019
ICERM

Learning to Personalize from Observational Data Under Unobserved Confounding

Presenter
  • Nathan Kallus
January 17, 2019
ICERM

Using systems models for causal inference- a data-assumption trade-off

Presenter
  • Eleanor Murray
January 15, 2019
ICERM

Causal inference from complex observational data

Presenter
  • Alexander Volfovsky
January 14, 2019
ICERM
Scalable Algorithms in the Age of Big Data and Network Sciences Thumbnail

Scalable Algorithms in the Age of Big Data and Network Sciences

Presenter
  • Shang-Hua Teng
November 29, 2018
IPAM
Learning Over-Parameterized Neural Networks on Structured Data Thumbnail

Learning Over-Parameterized Neural Networks on Structured Data

Presenter
  • Yingyu Liang
November 27, 2018
IPAM

Stratifying Multiparameter Persistent Homology

Presenter
  • Hal Schenck
November 12, 2018
ICERM
Enabling Reproducibility in Computational and Data-enabled Science Thumbnail

Enabling Reproducibility in Computational and Data-enabled Science

Presenter
  • Victoria Stodden
October 19, 2018
IPAM