Loading Events

« All Events

Stefan Wager, Stanford University

October 30 @ 12:00 pm - 1:30 pm

Title: Machine Learning for Causal Inference
Abstract: Given advances in machine learning over the past decades, it is now possible to accurately solve difficult non-parametric prediction problems in a way that is routine and reproducible. In this talk, I’ll discuss how these machine learning tools can be rigorously integrated into observational study analyses, and how they interact with classical ideas around randomization, semiparametric modeling, double robustness, etc. When deployed carefully, machine learning enables us to develop statistical estimators that reflect the study design more closely than basic linear regression based methods.
 
More on Prof. Wager

Details

Date:
October 30
Time:
12:00 pm - 1:30 pm
Event Categories:
,
Website:
https://ccpr.ucla.edu/event/stefan-wager-stanford-university/

Venue

4240 Public Affairs Bldg

Details

Date:
October 30
Time:
12:00 pm - 1:30 pm
Event Categories:
,
Website:
https://ccpr.ucla.edu/event/stefan-wager-stanford-university/

Venue

4240 Public Affairs Bldg