Optimal Online Stochastic Matching
Preprint, 2026,
with Paul Dütting, Michal Feldman.
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Publications
You can also find my articles on my Google Scholar profile.
Fair Prophets
Preprint, 2026,
with Paul Dütting, Michal Feldman.
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Kernel Methods for Refined Prophet Inequalities
Preprint, 2026,
with Patrick Loiseau, Vianney Perchet, Sebastian Perez-Salazar, Victor Verdugo.
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Tight L∞ Sample Complexity for Low-Degree and Sparse Boolean Polynomials
NeurIPS, 2026,
with Jasper van Doornmalen, Victor Verdugo, José Verschae.
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Prophet Inequalities under Local Differential Privacy
EC, 2026,
with Achraf Azize, Hugo Richard, Vianney Perchet.
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The First-Order Oracle Complexity of Lipschitz Convex Optimization in Nondual Settings
Preprint, 2026,
with David Martínez-Rubio, Brian Bullins, Cristobal Guzmán.
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Prophet Inequalities: Competing with the Top ℓ Items is Easy
SODA, 2025,
with Nicolas Gast, Patrick Loiseau, Vianney Perchet.
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The Price of Opportunity Fairness in Matroid Allocation Problems
NeurIPS, 2025,
with Rémi Castera, Felipe Garrido-Lucero, Simon Mauras, Patrick Loiseau, Vianney Perchet.
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Equitable Auctions
EC, 2025, best poster at GAIMSS 24
with Simon Finster, Patrick Loiseau, Simon Mauras, Bary Pradelski.
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Multi-Armed Bandits with Guaranteed Revenue per Arm
AISTATS, 2024,
with Dorian Baudry, Nadav Merlis, 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
with Nicolas Gast, Patrick Loiseau, Vianney Perchet.
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On Preemption and Learning in Stochastic Scheduling
ICML, 2023,
with Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Vianney Perchet.
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Bounding and Approximating Intersectional Fairness through Marginal Fairness
NeurIPS, 2022,
with Patrick Loiseau.
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