Videos

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Randomization, Neutrality, and Fairness: "Patience Ensures Fairness" Thumbnail

Randomization, Neutrality, and Fairness: "Patience Ensures Fairness"

Presenter
  • Florian Brandl
October 27, 2023
SLMath
Randomization, Neutrality, and Fairness: "Uncovering the Impact of Policy on Redistricting" Thumbnail

Randomization, Neutrality, and Fairness: "Uncovering the Impact of Policy on Redistricting"

October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles" Thumbnail

Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles"

Presenter
  • Ruta Mehta
October 25, 2023
SLMath
Randomization, Neutrality, and Fairness: "Best of Both Worlds Fairness" Thumbnail

Randomization, Neutrality, and Fairness: "Best of Both Worlds Fairness"

Presenter
  • Haris Aziz
October 24, 2023
SLMath
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice" Thumbnail

Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"

Presenter
  • Nisarg Shah
October 24, 2023
SLMath
Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints Thumbnail

Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints

Presenter
  • Wesley Pegden
October 23, 2023
SLMath
Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA Thumbnail

Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA

Presenter
  • Xuexin Wei
September 25, 2024
IPAM
Machine Learning Density Functionals Thumbnail

Machine Learning Density Functionals

Presenter
  • Kieron Burke
March 26, 2024
IMSI

Approximations and learning in the Wasserstein space

Presenter
  • Caroline Moosmüller
May 12, 2023
ICERM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning? Thumbnail

Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?

Presenter
  • Kyunghyun Cho
January 25, 2023
IPAM
Multi-group learning via Outcome Indistinguishability Thumbnail

Multi-group learning via Outcome Indistinguishability

Presenter
  • Gal Yona
March 14, 2022
IAS
Coarse graining autoencoders and evolutionary learning of atomistic potentials Thumbnail

Coarse graining autoencoders and evolutionary learning of atomistic potentials

Presenter
  • Rafael Gomez-Bombarelli
September 24, 2019
IPAM