Videos

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Understanding Neural Network Expressivity via Polyhedral Geometry

Presenter
  • Christoph Hertrich
April 26, 2023
ICERM
Sampling with kernelized Wasserstein gradient flows Thumbnail

Sampling with kernelized Wasserstein gradient flows

Presenter
  • Anna Korba
May 20, 2022
IMSI
Multi-group fairness, loss minimization and indistinguishability Thumbnail

Multi-group fairness, loss minimization and indistinguishability

Presenter
  • Parikshit Gopalan
April 12, 2022
IAS
Recent progress in query complexity I & II Part 2 Thumbnail

Recent progress in query complexity I & II Part 2

Presenter
  • Pei Wu
October 12, 2021
IAS
Recent progress in query complexity I & II Thumbnail

Recent progress in query complexity I & II

Presenter
  • Pei Wu
October 5, 2021
IAS

Tutorial: Path recovery from signature feature representation

Presenter
  • Weixin Yang
July 8, 2021
ICERM
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas) Thumbnail

Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)

Presenter
  • Nikos Sidiropoulos
May 5, 2021
IPAM

Data science for social equality

Presenter
  • Emma Pierson
March 10, 2021
ICERM
Neural network verification as piecewise linear optimization Thumbnail

Neural network verification as piecewise linear optimization

Presenter
  • Joseph Huchette
February 23, 2021
IPAM
Low-rank matrix recovery from quantized or count observations Thumbnail

Low-rank matrix recovery from quantized or count observations

Presenter
  • Mark Davenport
September 11, 2020
IAS
Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming Thumbnail

Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming

Presenter
  • Shay Moran
May 12, 2020
IAS
Steps towards more human-like learning in machines Thumbnail

Steps towards more human-like learning in machines

Presenter
  • Josh Tenenbaum
April 16, 2020
IAS