Mathieu Molina

According to our database, Mathieu Molina authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Prophet Inequalities: Competing with the Top <i>ℓ</i> Items is Easy.

Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

Prophet Inequalities: Competing with the Top ℓ Items is Easy.

Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet

CoRR, 2024

Equitable Pricing in Auctions.

Simon Finster, Patrick Loiseau, Simon Mauras, Mathieu Molina, Bary S. R. Pradelski

CoRR, 2024

The Price of Fairness in Bipartite Matching.

Rémi Castera, Felipe Garrido-Lucero, Mathieu Molina, Simon Mauras, Patrick Loiseau, Vianney Perchet

CoRR, 2024

Multi-armed bandits with guaranteed revenue per arm.

Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Trading-off price for data quality to achieve fair online allocation.

Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Preemption and Learning in Stochastic Scheduling.

Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet

Proceedings of the International Conference on Machine Learning, 2023

2022

Static Scheduling with Predictions Learned through Efficient Exploration.

Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet

CoRR, 2022

Bounding and Approximating Intersectional Fairness through Marginal Fairness.

Mathieu Molina, Patrick Loiseau

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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