activity
20102026
most citedBatched bandit problems

139 citations · 615 across the 107 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.GT2023

Local and adaptive mirror descents in extensive-form games

Côme Fiegel, Pierre Ménard, Tadashi Kozuno +3

We study how to learn -optimal strategies in zero-sum imperfect information games (IIG) with trajectory feedback. In this setting, players update their policies sequentially bas…

cs.LG2023

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

Mathieu Molina, Nicolas Gast, Patrick Loiseau +1

We consider the problem of online allocation subject to a long-term fairness penalty. Contrary to existing works, however, we do not assume that the decision-maker observes the pro…

cs.DS2023★ 1 cited

Online Matching in Geometric Random Graphs

Flore Sentenac, Nathan Noiry, Matthieu Lerasle +2

We investigate online maximum cardinality matching, a central problem in ad allocation. In this problem, users are revealed sequentially, and each new user can be paired with any p…

cs.AI2023★ 4 cited

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono +2

We consider the dataset valuation problem, that is, the problem of quantifying the incremental gain, to some relevant pre-defined utility of a machine learning task, of aggregating…

cs.LG2023

Constant or logarithmic regret in asynchronous multiplayer bandits

Hugo Richard, Etienne Boursier, Vianney Perchet

Multiplayer bandits have recently been extensively studied because of their application to cognitive radio networks. While the literature mostly considers synchronous players, radi…

cs.GT2023

Addressing Bias in Online Selection with Limited Budget of Comparisons

Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder +1

Consider a hiring process with candidates coming from different universities. It is easy to order candidates with the same background, yet it can be challenging to compare them oth…