259 citations
- Centre de Recherche en Économie et StatistiqueFR18 papers
- Centre Inria de SaclayFR16 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Sorbonne UniversitéFR14 papers
- Laboratoire d'Informatique de GrenobleFR12 papers
- École Normale Supérieure Paris-SaclayFR11 papers
- ENSAE ParisFR11 papers
- École Nationale d'AdministrationSN9 papers
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR8 papers
- École PolytechniqueFR7 papers
- Institut Systèmes Intelligents et de RobotiqueFR7 papers
- POLARIS: Évaluation et optimisation des performances des grandes infrastructuresFR6 papers
15 papers · 1 filter
A differential game on Wasserstein space. Application to weak approachability with partial monitoring
Vianney Perchet, Marc Quincampoix
Studying continuous time counterpart of some discrete time dynamics is now a standard and fruitful technique, as some properties hold in both setups. In game theory, this is usuall…
Dependency-dependent Bounds for Sums of Dependent Random Variables
Christoph H. Lampert, Liva Ralaivola, Alexander Zimin
We consider the problem of bounding large deviations for non-i.i.d. random variables that are allowed to have arbitrary dependencies. Previous works typically assumed a specific de…
Deep Determinantal Point Processes
Mike Gartrell, Elvis Dohmatob, Jon Alberdi
Determinantal point processes (DPPs) have attracted significant attention as an elegant model that is able to capture the balance between quality and diversity within sets. DPPs ar…
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner, Travis Dunlop +2
Recommender Systems are becoming ubiquitous in many settings and take many forms, from product recommendation in e-commerce stores, to query suggestions in search engines, to frien…
Multi-agent online learning in time-varying games
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl +1
We examine the long-run behavior of multi-agent online learning in games that evolve over time. Specifically, we focus on a wide class of policies based on mirror descent, and we s…
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing
Jingbo Jiang, Diego Legrand, Robert Severn +1
Multivariate testing has recently emerged as a promising technique in web interface design. In contrast to the standard A/B testing, multivariate approach aims at evaluating a larg…