Start date cannot be after end date.
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
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM
Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis
Presenter
- Lukas Pospisil
November 1, 2019
IPAM
Big data in materials science: New tools for getting insight into materials properties and functions
Presenter
- Claudia Draxl
September 30, 2016
IPAM
Optimizing Building Operations in the Presence of Occupant-Driven Uncertainty and Grid Feedback
Presenter
- Gregor Henze
June 13, 2013
IMA
Personalized Cancer Care through Digital Twin Technology: Integrating Patient-Specific Data with Mechanistic Modeling
Presenter
- Leili Shahriyari
August 1, 2025
ICERM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 2025
IPAM