Videos

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Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs Thumbnail

Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs

Presenter
  • Adam Oberman
October 5, 2020
IPAM
High-dimensional omics data analysis with missing values Thumbnail

High-dimensional omics data analysis with missing values

Presenter
  • Anru Zhang
September 10, 2020
IAS
From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds Thumbnail

From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds

Presenter
  • Nicolas Garcia Trillos
April 24, 2020
IPAM
Do Simpler Models Exist and How Can We Find Them? Thumbnail

Do Simpler Models Exist and How Can We Find Them?

Presenter
  • Cynthia Rudin
April 16, 2020
IAS
Iterative Random Forests (iRF) with applications to genomics and precision medicine Thumbnail

Iterative Random Forests (iRF) with applications to genomics and precision medicine

Presenter
  • Bin Yu
April 15, 2020
IAS
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
Multiscale mathematical approaches for translational mental health benefits Thumbnail

Multiscale mathematical approaches for translational mental health benefits

Presenter
  • Michael Bonsall
February 21, 2020
IPAM
Meanders and holomorphic differentials Thumbnail

Meanders and holomorphic differentials

Presenter
  • Vincent Delecroix
November 21, 2019
SLMath
On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches Thumbnail

On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches

Presenter
  • Carlo Baldassi
November 20, 2019
IPAM
GMNN: Graph Markov Neural Networks Thumbnail

GMNN: Graph Markov Neural Networks

Presenter
  • Jian Tang
May 22, 2019
IPAM
Principal geodesic analysis in the space of discrete shells Thumbnail

Principal geodesic analysis in the space of discrete shells

Presenter
  • Martin Rumpf
April 16, 2019
IPAM

Machine Learning: Dynamical, Economic and Stochastic Perspectives

Presenter
  • Michael Jordan
January 23, 2019
MBI