Virginie Do

About

I am a PhD student at PSL University (Université Paris Dauphine) and Meta AI (Facebook AI Research), advised by Nicolas Usunier (Meta AI), Jamal Atif and Jérôme Lang (PSL University, CNRS). I am based in Paris, France.

I am interested in machine learning, social choice and fair & responsible AI.

Prior to my PhD, I received an MSc in Social Data Science from the University of Oxford, an MSc/BSc in Applied Mathematics from Ecole Polytechnique (Diplôme d'Ingénieur) , and a BA in Philosophy from Université Paris Nanterre.

Publications & preprints

Optimizing generalized Gini indices for fairness in rankings. ACM SIGIR 2022. [pdf]
Virginie Do and Nicolas Usunier.

Online approval committee elections. IJCAI 2022. [pdf]
Virginie Do, Matthieu Hervouin, Jérôme Lang, and Piotr Skowron.

Fast online ranking with fairness of exposure. ACM FAccT 2022.
Nicolas Usunier, Virginie Do, Elvis Dohmatob.

Online certification of preference-based fairness for personalized recommender systems. AAAI 2022. [pdf]
Virginie Do, Sam Corbett-Davies, Jamal Atif, and Nicolas Usunier.
Outstanding paper award.

Two-sided fairness in rankings via Lorenz dominance. NeurIPS 2021. [pdf]
Virginie Do, Sam Corbett-Davies, Jamal Atif, and Nicolas Usunier.

Online selection of diverse committees. IJCAI 2021. [pdf]
Virginie Do, Jamal Atif, Jérôme Lang, and Nicolas Usunier.

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021. [pdf]
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz.

Service

I am co-organizing the workshop Responsible Decision-Making in Dynamic Environments at ICML 2022, with Thorsten Joachims, Alessandro Lazaric, Joelle Pineau, Matteo Pirotta, Harsh Satija and Nicolas Usunier. See you in Baltimore!

Reviewer: NeurIPS 2021, ICML 2022, FAccT 2022.