Videos

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Adapting Trials to Accelerate the Transition to Precision Treatment in a Learning Health Care System Thumbnail

Adapting Trials to Accelerate the Transition to Precision Treatment in a Learning Health Care System

Presenter
  • Laura Esserman
May 21, 2021
IMSI
Learning with Uncertainty on Dynamic Manifolds Thumbnail

Learning with Uncertainty on Dynamic Manifolds

Presenter
  • Daniel Tartakovsky
May 13, 2021
IMSI
Learning long-timescale behavior from short trajectory data Thumbnail

Learning long-timescale behavior from short trajectory data

Presenter
  • Jonathan Weare
May 11, 2021
IMSI
Tensor-train decomposition and its applications in machine learning Thumbnail

Tensor-train decomposition and its applications in machine learning

Presenter
  • Ivan Oseledets
April 21, 2021
IPAM
Contrastive Learning, multi-view redundancy, and linear models Thumbnail

Contrastive Learning, multi-view redundancy, and linear models

Presenter
  • Daniel Hsu
April 12, 2021
IMSI
Robust regression with covariate filtering: Heavy tails and adversarial contamination Thumbnail

Robust regression with covariate filtering: Heavy tails and adversarial contamination

Presenter
  • Po-Ling Loh
April 12, 2021
IMSI
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization Thumbnail

Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization

Presenter
  • Nadav Cohen
March 31, 2021
IPAM
Tensor Decompositions and their Applications (Part 2/2) Thumbnail

Tensor Decompositions and their Applications (Part 2/2)

Presenter
  • Ankur Moitra
March 19, 2021
IPAM
Tensor Decompositions and their Applications (Part 1/2) Thumbnail

Tensor Decompositions and their Applications (Part 1/2)

Presenter
  • Ankur Moitra
March 16, 2021
IPAM
Decision-focused learning: integrating downstream combinatorics in ML Thumbnail

Decision-focused learning: integrating downstream combinatorics in ML

Presenter
  • Bistra Dilkina
February 25, 2021
IPAM
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
Supervised learning with missing values Thumbnail

Supervised learning with missing values

Presenter
  • Julie Josse
September 8, 2020
IAS