Virginie Do

About

I am a PhD student at Université Paris Dauphine - PSL and Facebook AI Research (FAIR), advised by Nicolas Usunier (FAIR Paris), Jamal Atif and Jérôme Lang (Dauphine-PSL, CNRS). At Dauphine-PSL, I am part of the MILES team in the LAMSADE laboratory.

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

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

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.