Demo: Enabling end-to-end causal inference at scale

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Speakers:
Eleanor Dillon, Principal Economist, Microsoft Research New England
Amit Sharma, Senior Researcher, Microsoft Research India

This session will present the two popular open-source tools for causal inference, DoWhy and EconML, developed by Microsoft Research. In this demo, researchers Amit Sharma and Eleanor Dillon will describe how the integrated toolkit (DoWhy+EconML) provides an end-to-end API for causal inference, access to state-of-the-art effect estimation algorithms, and methods to evaluate the validity of a causal estimate.

  1. Microsoft Research
  2. Causal Machine Learning
  3. human-like machine intelligence
  4. computer science
  5. causal machine learning technologies
  6. microsoft research summit
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Комментарии
Автор

Amazing demonstration and the most needed library for me. Trying to create a Next Best Action model and just wondering if these would help me in generating solution for that.

rahulmittal
Автор

Wow. Impressive.
Would like to have seen more DoWhy and then process of tranfering from DoWhy to EconML.
Also how does one store and run structural causal model (SCM)?
Do you have packages for R?
Jim Callahan, Callahan Data Science LLC

JimCallahanOrlando
Автор

can you upload a version with better resolution? Right now the chart looks very fuzzy. thanks.

yukitang