Videos

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Introduction to Interpretable Machine Learning IV Thumbnail

Introduction to Interpretable Machine Learning IV

Presenter
  • Cynthia Rudin
May 27, 2022
IAS
Introduction to Interpretable Machine Learning II Thumbnail

Introduction to Interpretable Machine Learning II

Presenter
  • Cynthia Rudin
May 24, 2022
IAS
Introduction to Interpretable Machine Learning Thumbnail

Introduction to Interpretable Machine Learning

Presenter
  • Cynthia Rudin
May 23, 2022
IAS
Spectral Gap in Regular Graphs and Hypergraphs Thumbnail

Spectral Gap in Regular Graphs and Hypergraphs

Presenter
  • Ioana Dumitriu
September 24, 2021
SLMath
Sampling Beyond Log-concavity Thumbnail

Sampling Beyond Log-concavity

Presenter
  • Andrej Risteski
April 15, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
On Langevin Dynamics in Machine Learning Thumbnail

On Langevin Dynamics in Machine Learning

Presenter
  • Michael Jordan
June 11, 2020
IAS
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM
Geometric surprises in modern machine learning Thumbnail

Geometric surprises in modern machine learning

Presenter
  • Andrea Montanari
April 30, 2019
IPAM