Date / Heure
Date(s) - 21/11/2019
12h00 - 13h30

Emplacement
Agorize

Catégories

WiMLDS Paris has another format: paper reading sessions. These sessions happen at lunchtime, each 3rd Thursday of the month. 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.
The events’ spots are limited so discussions between attendees remain possible.

This session’s paper will be “Uncovering Bias in Ad Feedback Data
Analyses & Applications” (Marc Bron, Andy Haines, Ke Zhou, Mounia Lalmas, https://bit.ly/32HmHy7), and group discussions around that paper and related subjects.

Additionally, one member will present a short exposé about takeaways and applications from the paper “Deep Unfolding of a Proximal Interior Point Method for Image Restoration” (Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet and Marco Prato, https://bit.ly/32TtjcL)

Agenda:
12h-12h20:
Welcome and lunch (discussions are smoother with a full stomach)
12h30-13h30:
Paper presentations and open group discussions

Lunch is provided by Agorize, please reach out to organizers about any food allergy or restriction you might have.

Don’t hesitate to share content on social networks using #WiMLDSParis, #BBLWiMLDSParis and @WiMLDS_Paris

https://www.meetup.com/fr-FR/Paris-Women-in-Machine-Learning-Data-Science/events/265870349/