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Microsoft Research Summit 2021 • Videos

Research talk: Causal ML and business

Using machine learning for causal inference can, in a subset of cases with rich data, replicate results from A/B experimentation. For other cases, like identifying the “average treatment effect for compliers” ML offers more limited scope. There is room to progress methodologically on this front. In the best-case scenario, where we get the tools to estimate average treatment effects for compliers, there is a  straightforward path to get a scalable inference service off the ground, similar to experimental platforms. In this session, Microsoft economics researcher Jacob LaRiviere will discuss some experiences with causal ML in business scenarios.

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Track:
Causal Machine Learning
Date:
Speakers:
Jacob LaRiviere
Affiliation:
Microsoft Research

Causal Machine Learning