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Books and Theses
- 2023
[b1]Virginie Do:
Fairness in recommender systems: insights from social choice. (Equité des systèmes de recommandation: les perspectives du choix social). PSL University, Paris, France, 2023
Conference and Workshop Papers
- 2023
- [c11]David Liu
, Virginie Do, Nicolas Usunier, Maximilian Nickel:
Group fairness without demographics using social networks. FAccT 2023: 1432-1449 - [c10]Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier:
Contextual bandits with concave rewards, and an application to fair ranking. ICLR 2023 - [c9]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). IJCAI 2023: 6426-6430 - 2022
- [c8]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems. AAAI 2022: 6532-6540 - [c7]Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. FAccT 2022: 2157-2167 - [c6]Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron:
Online Approval Committee Elections. IJCAI 2022: 251-257 - [c5]Virginie Do, Nicolas Usunier:
Optimizing Generalized Gini Indices for Fairness in Rankings. SIGIR 2022: 737-747 - 2021
- [c4]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021: 1224-1234 - [c3]Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. IJCAI 2021: 154-160 - [c2]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Two-sided fairness in rankings via Lorenz dominance. NeurIPS 2021: 8596-8608 - 2018
- [c1]Meg J. Ray, Maya Israel, Chung Eun Lee, Virginie Do:
A Cross-Case Analysis of Instructional Strategies to Support Participation of K-8 Students with Disabilities in CS for All. SIGCSE 2018: 900-905
Informal and Other Publications
- 2024
- [i12]Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda:
Robust LLM safeguarding via refusal feature adversarial training. CoRR abs/2409.20089 (2024) - 2023
- [i11]David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel:
Group fairness without demographics using social networks. CoRR abs/2305.11361 (2023) - 2022
- [i10]Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron:
Online Approval Committee Elections. CoRR abs/2202.06830 (2022) - [i9]Virginie Do, Nicolas Usunier:
Optimizing generalized Gini indices for fairness in rankings. CoRR abs/2204.06521 (2022) - [i8]Thierry Kirat, Olivia Tambou, Virginie Do, Alexis Tsoukiàs:
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law. CoRR abs/2206.03226 (2022) - [i7]Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. CoRR abs/2209.13019 (2022) - [i6]Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier:
Contextual bandits with concave rewards, and an application to fair ranking. CoRR abs/2210.09957 (2022) - 2021
- [i5]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online certification of preference-based fairness for personalized recommender systems. CoRR abs/2104.14527 (2021) - [i4]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR abs/2105.03761 (2021) - [i3]Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. CoRR abs/2105.09295 (2021) - [i2]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Two-sided fairness in rankings via Lorenz dominance. CoRR abs/2110.15781 (2021) - 2020
- [i1]Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz:
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR abs/2004.03744 (2020)
Coauthor Index
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