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Randomization, Neutrality, and Fairness: "Uncovering the Impact of Policy on Redistricting"
October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints
Presenter
- Wesley Pegden
October 23, 2023
SLMath
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Tutorial: Path recovery from signature feature representation
Presenter
- Weixin Yang
July 8, 2021
ICERM
Locating Outliers in Large Matrices with Adaptive Compressive Sampling
Presenter
- Jarvis Haupt
December 8, 2015
IMA
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA
Presenter
- Rongjie Lai
July 15, 2025
IPAM
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"
Presenter
- Kosuke Imai
October 24, 2023
SLMath
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
Presenter
- Jens Eisert
October 17, 2023
IPAM