Nathan Kallus writes:
I wanted to share an announcement for a causal inference workshop we are organizing at NeurIPS 2019. I think the readers of your blog would be very interested, and we would be eager to have them interact/attend/submit.
And here it is:
The NeurIPS 2019 Workshop on
“Do the right thing”: machine learning and causal inference for improved decision making
will take place December 13-14, 2019 in Vancouver (co-located with the NeurIPS 2019 main conference).
The primary purpose of this workshop is to bring together experts from different fields to discuss the relationships between machine learning and causal inference and to discuss and highlight the formalization and algorithmization of causality in machine learning, economics, statistics, health sciences, and beyond.
We solicit contributed submissions related to all aspects of causal inference, counterfactual prediction, and autonomous action. We would especially like to encourage submissions from individuals who would not usually submit their work to NeurIPS, and we hope this venue would give these individuals a singular opportunity to share their work with a new audience at the top conference on machine learning (without complicating dual submission policies as the workshop will not be archival). We suggest submission of 2-8 pages in the NeurIPS format. The review process is double-blind. At the discretion of the organizers, accepted contributions will be assigned slots as contributed oral talks. All accepted papers will be have the opportunity to be presented in poster sessions. Submission details on the workshop website.
Confirmed invited speakers: Susan Athey, Suan Murphy, Andrea Rotnitzky, Susan Shortreed, Ying-Qi Zhao.
Sounds like fun.