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Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference using Five Empirical Applications
Presenter
- Luke Keele
January 14, 2019
ICERM
Using machine learning to map the structure and predict the properties of materials and molecules
Presenter
- Michele Ceriotti
September 27, 2016
IPAM
Communication Efficient Algorithms for Distributed Machine Learning
Presenter
- Nina Balcan
May 16, 2016
IMA
Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA
Presenter
- Jochen Garcke
March 12, 2026
IPAM
Andrea Bertozzi - Machine Learning for High Throughput DNA-Aptamer Screening and Selection
Presenter
- Andrea Bertozzi
February 24, 2026
IPAM
Terence Tao - Machine assistance and the future of research mathematics - IPAM at UCLA
Presenter
- Terence Tao
February 10, 2026
IPAM
Franca Hoffmann - Efficient calibration for black-box physics-based models - IPAM at UCLA
Presenter
- Franca Hoffmann
February 6, 2026
IPAM
David John Gagne - Physics and Uncertainty in the Community Research Earth Digital Intelligence Twin
Presenter
- David John Gagne
February 6, 2026
IPAM