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Bounding and Approximating Intersectional Fairness through Marginal Fairness

NeurIPS, 2022,

Mathieu Molina ^*, Patrick Loiseau.
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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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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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Multi-Armed Bandits with Guaranteed Revenue per Arm

AISTATS, 2024,

Dorian Baudry, Nadav Merlis, Mathieu Molina, Hugo Richard, 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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The Price of Fairness in Bipartite Matching

NeurIPS, 2025,

Rémi Castera^*, Felipe Garrido-Lucero^*, Mathieu Molina^* , Simon Mauras, Patrick Loiseau, 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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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching assistant for ‘Data Science’ course at Mines Paris, 2022 and 2023

, , 1900

Teaching experience 2

Workshop, University 1, Department, 2015

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