Kernel Methods for Refined Prophet Inequalities
Preprint, 2026,
Patrick Loiseau, Mathieu Molina, Vianney Perchet, Sebastian Perez-Salazar, Victor Verdugo.
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Publications
You can also find my articles on my Google Scholar profile.
Tight L∞ Sample Complexity for Low-Degree and Sparse Boolean Polynomials
Preprint, 2026,
Jasper van Doornmalen, Mathieu Molina, Victor Verdugo, José Verschae.
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Prophet Inequalities under Local Differential Privacy
EC 2026, 2026,
Achraf Azize, Mathieu Molina, Hugo Richard, Vianney Perchet.
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Prophet Inequalities: Competing with the Top ℓ Items is Easy
SODA, 2025,
Mathieu Molina , Nicolas Gast, Patrick Loiseau, Vianney Perchet.
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The Price of Opportunity Fairness in Matroid Allocation Problems
NeurIPS, 2025,
Rémi Castera, Felipe Garrido-Lucero, Mathieu Molina, Simon Mauras, Patrick Loiseau, Vianney Perchet.
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Equitable Auctions
EC, 2025, best poster at GAIMSS 24
Simon Finster, Patrick Loiseau, Simon Mauras, Mathieu Molina, Bary Pradelski.
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Multi-Armed Bandits with Guaranteed Revenue per Arm
AISTATS, 2024,
Dorian Baudry, Nadav Merlis, Mathieu Molina, Hugo Richard, Vianney Perchet.
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Trading-off price for data quality to achieve fair online allocation
NeurIPS, 2023, best poster at Hi! PARIS summer school 2024
Mathieu Molina , Nicolas Gast, Patrick Loiseau, Vianney Perchet.
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On Preemption and Learning in Stochastic Scheduling
ICML, 2023,
Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet.
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Bounding and Approximating Intersectional Fairness through Marginal Fairness
NeurIPS, 2022,
Mathieu Molina , Patrick Loiseau.
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