Videos

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On Min-Max Optimization and Halpern Iteration Thumbnail

On Min-Max Optimization and Halpern Iteration

Presenter
  • Jelena Diakonikolas
April 14, 2021
IMSI
Chasing the Long Tail: What Neural Networks Memorize and Why Thumbnail

Chasing the Long Tail: What Neural Networks Memorize and Why

Presenter
  • Vitaly Feldman
April 14, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
New Problems and Perspectives on Sampling, Memory, and Learning Thumbnail

New Problems and Perspectives on Sampling, Memory, and Learning

Presenter
  • Gregory Valiant
April 13, 2021
IMSI
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Performative Prediction Thumbnail

Performative Prediction

Presenter
  • Moritz Hardt
April 13, 2021
IMSI
Contrastive Learning, multi-view redundancy, and linear models Thumbnail

Contrastive Learning, multi-view redundancy, and linear models

Presenter
  • Daniel Hsu
April 12, 2021
IMSI
Functions with average smoothness: structure, algorithms, and learning Thumbnail

Functions with average smoothness: structure, algorithms, and learning

Presenter
  • Aryeh Kontorovich
April 12, 2021
IMSI
Benign overfitting Thumbnail

Benign overfitting

Presenter
  • Peter Bartlett
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

The Foundation of a Matroid

Presenter
  • Matthew Baker
April 12, 2021
ICERM
The KdV hierarchy at H^{-1} regularity Thumbnail

The KdV hierarchy at H^{-1} regularity

Presenter
  • Herbet Koch
April 12, 2021
SLMath