no code implementations • 11 May 2022 • Jaime Roquero Gimenez, James Zou
Developing deep generative models that flexibly incorporate diverse measures of probability distance is an important area of research.
no code implementations • 29 May 2019 • Jaime Roquero Gimenez, James Zou
Most of the work in this domain has focused on identifying globally relevant features, which are features that are related to the outcome using evidence across the entire dataset.
no code implementations • 26 Oct 2018 • Jaime Roquero Gimenez, James Zou
The Model-X knockoff procedure has recently emerged as a powerful approach for feature selection with statistical guarantees.
no code implementations • 17 Jul 2018 • Jaime Roquero Gimenez, Amirata Ghorbani, James Zou
This is often impossible to do from purely observational data, and a natural relaxation is to identify features that are correlated with the outcome even conditioned on all other observed features.