Videos

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Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference

Presenter
  • Emmanuel Candes
April 11, 2021
ICERM

Data science for social equality

Presenter
  • Emma Pierson
March 10, 2021
ICERM
Private AI: Machine Learning on Encrypted Data Thumbnail

Private AI: Machine Learning on Encrypted Data

Presenter
  • Kristin Lauter
October 7, 2020
IMSI
Meta-Learning: Why It’s Hard and What We Can Do Thumbnail

Meta-Learning: Why It’s Hard and What We Can Do

Presenter
  • Ke Li
April 9, 2020
IAS
Generalization Theory in Machine Learning Thumbnail

Generalization Theory in Machine Learning

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM
Distributed Private Machine Learning Thumbnail

Distributed Private Machine Learning

Presenter
  • Abhradeep Thakurta
January 10, 2018
IPAM
New directions in machine learning - Part II Thumbnail

New directions in machine learning - Part II

Presenter
  • Terry Lyons
May 15, 2015
IPAM
New directions in machine learning - Part I Thumbnail

New directions in machine learning - Part I

Presenter
  • Terry Lyons
May 15, 2015
IPAM
An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities Thumbnail

An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities

Presenter
  • Raphael Meunier
December 1, 2025
IMSI
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy Thumbnail

Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy

Presenter
  • Pilar Cossio
April 25, 2024
IMSI
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment" Thumbnail

Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"

Presenter
  • Kosuke Imai
October 24, 2023
SLMath