Videos

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Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA Thumbnail

Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA

Presenter
  • Raghu Meka
March 1, 2024
IPAM
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA Thumbnail

Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA

Presenter
  • Tias Guns
March 2, 2023
IPAM
Multi-group fairness, loss minimization and indistinguishability Thumbnail

Multi-group fairness, loss minimization and indistinguishability

Presenter
  • Parikshit Gopalan
April 12, 2022
IAS
Rapid and robust parameter estimation for gravitational wave observations Thumbnail

Rapid and robust parameter estimation for gravitational wave observations

Presenter
  • Jonathan Gair
December 3, 2021
IPAM
Statistical modeling and missing data Thumbnail

Statistical modeling and missing data

Presenter
  • Rod Little
September 8, 2020
IAS
Feature purification: How adversarial training can perform robust deep learning Thumbnail

Feature purification: How adversarial training can perform robust deep learning

Presenter
  • Yuanzhi Li
March 16, 2020
IAS
Interpretability: of what, for whom, why, and how? Thumbnail

Interpretability: of what, for whom, why, and how?

Presenter
  • Zachary Lipton
October 17, 2019
IPAM
On the Implicit Bias of Dropout Thumbnail

On the Implicit Bias of Dropout

Presenter
  • Rene Vidal
May 23, 2019
IPAM
Robust algorithmics: a foundation for science?! Thumbnail

Robust algorithmics: a foundation for science?!

Presenter
  • Joachim Buhmann
November 6, 2018
IPAM
Real and virtual screening for materials discovery through first principles calculations Thumbnail

Real and virtual screening for materials discovery through first principles calculations

Presenter
  • Isao Tanaka
September 29, 2016
IPAM
Quantum Mechanics, Chemical Space, and Machine Learning Thumbnail

Quantum Mechanics, Chemical Space, and Machine Learning

September 27, 2016
IPAM
Eigenvector Localization, Implicit Regularization, and Algorithmic Anti-differentiation for Large-scale Graphs and Networked Data Thumbnail

Eigenvector Localization, Implicit Regularization, and Algorithmic Anti-differentiation for Large-scale Graphs and Networked Data

Presenter
  • Michael Mahoney
April 30, 2014
IMA