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From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"
Presenter
- Jeremias Sulam
August 30, 2023
SLMath
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA
Presenter
- Andrea Tirelli
May 25, 2022
IPAM
A Machine Learning Application in Multi-Messenger Astrophysics
Presenter
- Irene Di Palma
October 7, 2021
IPAM
Chasing the Long Tail: What Neural Networks Memorize and Why
Presenter
- Vitaly Feldman
April 14, 2021
IMSI
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM