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Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Causal Inference, Uncertainty, and Health Policy Decision Making
Presenter
- Sharon-Lise Normand
January 17, 2019
ICERM
Should You Derive or Let the Data Drive? Towards a Hybrid Physics-based Data-driven Symbiosis
Presenter
- Lior Horesh
February 22, 2016
IMA
Uncertainty Quantification in Quantitative Systems Pharmacology (QSP): An illustrative example applied to microbiome therapies
Presenter
- Marissa Renardy
May 8, 2025
ICERM
Santosh Manicka - How might multiscale collectives ‘collect’ across scales? - IPAM at UCLA
Presenter
- Santosh Manicka
November 21, 2024
IPAM
Levi Lelis - Learning Libraries of Programmatic Policies - IPAM at UCLA
Presenter
- Levi Lelis
November 4, 2024
IPAM
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"
Presenter
- Nisarg Shah
October 24, 2023
SLMath
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"
Presenter
- Kosuke Imai
October 24, 2023
SLMath
Online learning for healthcare treatment recommendation: risk-aware decisions and delayed feedback
Presenter
- Renyuan Xu
May 17, 2023
IMSI
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Algorithms for metric elicitation via the geometry of classifier statistics.
Presenter
- Sanmi Koyejo
August 3, 2021
ICERM
