BBL #14 Paris WiMLDS Paper Reading Session by Bénédicte Colnet

WiMLDS Paris has another format than evening meetups: paper reading sessions. These sessions happen at lunchtime. The goal of these events is to take some time to discuss Machine Learning and Data Science papers that we found interesting, and take the opportunity to discover ML-passionate people in Paris and around the world.
The events' spots are limited so discussions between attendees remain possible.

This session's paper will be presented by Benedicte COLNET, Ph.D. candidate at Inria on removing distributional shift when measuring a causal effect: generalizing clinical trials or A/B testing.