Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. - Fred S. Lu; André T. Nguyen; Nicholas B. Link; Mathieu Molina; Jessica T. Davis; Matteo Chinazzi; Xinyue Xiong; Alessandro Vespignani; Marc Lipsitch; Mauricio Santillana (PLoS Comput. Biol., 2021)

Bounding and Approximating Intersectional Fairness through Marginal Fairness. - Mathieu Molina; Patrick Loiseau (NeurIPS, 2022)

Static Scheduling with Predictions Learned through Efficient Exploration. - Hugo Richard; Flore Sentenac; Corentin Odic; Mathieu Molina; Vianney Perchet (CoRR, 2022)

On Preemption and Learning in Stochastic Scheduling. - Nadav Merlis; Hugo Richard; Flore Sentenac; Corentin Odic; Mathieu Molina; Vianney Perchet (ICML, 2023)

Trading-off price for data quality to achieve fair online allocation. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (NeurIPS, 2023)

Multi-armed bandits with guaranteed revenue per arm. - Dorian Baudry; Nadav Merlis; Mathieu Benjamin Molina; Hugo Richard; Vianney Perchet (AISTATS, 2024)

The Price of Fairness in Bipartite Matching. - Rémi Castera; Felipe Garrido-Lucero; Mathieu Molina; Simon Mauras; Patrick Loiseau; Vianney Perchet (CoRR, 2024)

Equitable Pricing in Auctions. - Simon Finster; Patrick Loiseau; Simon Mauras; Mathieu Molina; Bary S. R. Pradelski (CoRR, 2024)

Prophet Inequalities: Competing with the Top ℓ Items is Easy. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (CoRR, 2024)

Equitable Auctions. - Simon Finster; Patrick Loiseau; Simon Mauras; Mathieu Molina; Bary S. R. Pradelski (EC, 2025)

Prophet Inequalities: Competing with the Top ℓ Items is Easy. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (SODA, 2025)