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Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
Bounding and Approximating Intersectional Fairness through Marginal Fairness
NeurIPS, 2022,
Mathieu Molina *, Patrick Loiseau.
Download here
On Preemption and Learning in Stochastic Scheduling
ICML, 2023,
Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet.
Download here
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.
Download here
Multi-Armed Bandits with Guaranteed Revenue per Arm
AISTATS, 2024,
Dorian Baudry, Nadav Merlis, Mathieu Molina, Hugo Richard, Vianney Perchet.
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The Price of Fairness in Bipartite Matching
Working paper, 2024,
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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Prophet Inequalities: Competing with the Top ℓ Items is Easy
SODA, 2025,
Mathieu Molina *, Nicolas Gast, Patrick Loiseau, Vianney Perchet.
Download here
talks
Talk 1 on Relevant Topic in Your Field
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Tutorial 1 on Relevant Topic in Your Field
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Talk 2 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching assistant for ‘Data Science’ course at Mines Paris, 2022 and 2023
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Teaching experience 2
Workshop, University 1, Department, 2015
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