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Stefan WAGER (Université de Stanford) – “Machine Learning for Causal Inference”

October 8, 2:00 pm - 3:15 pm

The Statistical Seminar: Every Monday at 2:00 pm.

Time: 2:00 pm – 3:15 pm
Date: 8th of October 2018
Place: Room 1003. exceptionally room 1003

Stefan WAGER (Université de Stanford) – “Machine Learning for Causal Inference

Abstract: Flexible estimation of heterogeneous treatment effects lies at the heart of many statistical challenges, such as personalized medicine and optimal resource allocation. In this talk, I will discuss general principles for estimating heterogeneous treatment effects in observational studies via loss minimization, and then present a random forest algorithm that builds on these principles. As established both formally and empirically, the proposed approach is an order of magnitude more robust to confounding that direct regression-based baselines.

Organizers:
Cristina BUTUCEA, Alexandre TSYBAKOV, Julie JOSSE, Eric MOULINES, Mathieu ROSENBAUM

Sponsors:
CREST-CMAP

 

Details

Date:
October 8
Time:
2:00 pm - 3:15 pm
Event Category:

Venue