Videos

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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

Factorizations, centers, and the Jucys—Murphy elements of the Hecke algebra

Presenter
  • Sarah Brauner
September 18, 2025
ICERM
When More Data Do Not Provide A Better Description Thumbnail

When More Data Do Not Provide A Better Description

Presenter
  • Matthias Scheffler
October 19, 2018
IPAM
Tutorial - Algorithms for Sparse Optimization and Machine Learning Thumbnail

Tutorial - Algorithms for Sparse Optimization and Machine Learning

Presenter
  • Stephen Wright
March 27, 2012
IMA
Learning with Approximate or Distributed Topology Thumbnail

Learning with Approximate or Distributed Topology

Presenter
  • Alexander Wagner
April 29, 2021
IMSI
Pravesh Kothari - Algorithms Approaching the Threshold for Semirandom Planted Clique - IPAM at UCLA Thumbnail

Pravesh Kothari - Algorithms Approaching the Threshold for Semirandom Planted Clique - IPAM at UCLA

Presenter
  • Pravesh Kothari
March 1, 2024
IPAM

Large Neighborhood Search for ILPs with Relaxation-based and Contrastive-Learning-based Heuristics

Presenter
  • Bistra Dilkina
April 28, 2023
ICERM

Distribution Regression for Sequential Data

Presenter
  • Maud Lemercier
July 7, 2021
ICERM

From Dynamics to Algorithms for Optimization and Sampling

Presenter
  • Andre Wibisono
June 24, 2024
ICERM

Data science for social equality

Presenter
  • Emma Pierson
March 10, 2021
ICERM
Utilizing machine learning to accelerate computational catalyst search Thumbnail

Utilizing machine learning to accelerate computational catalyst search

Presenter
  • Thomas Bliggard
December 8, 2016
IPAM
Decision-focused learning as an inverse problem. Thumbnail

Decision-focused learning as an inverse problem.

Presenter
  • Daniel McKenzie
August 7, 2024
IMSI