Videos

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Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
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

Rigid local systems and the multiplicative eigenvalue problem

Presenter
  • Prakash Belkale
March 23, 2021
ICERM
Affine Hecke category and noncommutative Springer resolution Thumbnail

Affine Hecke category and noncommutative Springer resolution

Presenter
  • Roman Bezrukavnikov
March 17, 2021
IAS

Fairness in Redistricting

Presenter
  • Jonathan Mattingly
March 9, 2021
ICERM

Modeling the leaky pipeline in hierarchical professions

Presenter
  • Sara Clifton
March 9, 2021
ICERM
Task structure and generalization in graph neural networks Thumbnail

Task structure and generalization in graph neural networks

Presenter
  • Stefanie Jegelka
February 25, 2021
IPAM
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Thumbnail

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Presenter
  • Laurent Charlin
February 24, 2021
IPAM
Neural network verification as piecewise linear optimization Thumbnail

Neural network verification as piecewise linear optimization

Presenter
  • Joseph Huchette
February 23, 2021
IPAM
Scaling Up Exact Neural Network Compression by ReLU Stability Thumbnail

Scaling Up Exact Neural Network Compression by ReLU Stability

Presenter
  • Thiago Serra
February 23, 2021
IPAM
Introduction to Laplacian Linear Systems for Undirected Graphs Thumbnail

Introduction to Laplacian Linear Systems for Undirected Graphs

Presenter
  • John Peebles
February 23, 2021
IAS