Counterfactual Risk Minimization

Counterfactual Risk Minimization

This video is a recap of our January 2019 Americas TWIML Online Meetup.

In this month’s community segment, we discuss the Causality of Machine Learning, Science of Deep Learning at the National Academy of Sciences in DC in March, AI for Social Good, Autonomous Greenhouse Challenge in the Netherlands, and H20 in San Francisco.

In our presentation segment, Ganesh Krishnan leads a discussion on “Counterfactual Risks Minimization” with the paper “Counterfactual Risk Minimization” by Adith Swaminathan and Thorsten Joachims.

For links to the papers, podcasts, and more mentioned above or during this meetup, for more information on previous meetups, or to get registered for upcoming meetups, visit twimlai.com/meetup!

 

Paper covered in the presentation:

• Counterfactual Risk Minimization paper by Adith Swaminathan and Thorsten Joachims

Mentioned in the community segment:

• Article on Causal Machine Learning
• Science of Deep Learning at the National Academy of Sciences – March
• AI for Social Good
• Autonomous Greenhouse Challenge
• H20 Conference

Topic:	Counterfactual Risk Minimization
Presenter:	Ganesh Krishnan
Date:	Tuesday 15th January 2019
Time:	17:00 PM US Pacific Time