Alexandre Gilotte

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Partitioned Data

Privacy Requirements

Data Anonymization

Top Venues

Publications

Benjamin Heymann, Rémi Chan-Renous-Legoubin, Alexandre Gilotte
A pragmatic policy learning approach to account for users' fatigue in repeated auctions. CoRR (2024)
Otmane Sakhi, David Rohde, Alexandre Gilotte
Fast Offline Policy Optimization for Large Scale Recommendation. AAAI (2023)
Otmane Sakhi, David Rohde, Alexandre Gilotte
Fast Offline Policy Optimization for Large Scale Recommendation. CoRR (2022)
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. WWW (2022)
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. CoRR (2022)
Alexandre Gilotte, Ahmed Ben Yahmed, David Rohde
Learning from aggregated data with a maximum entropy model. CoRR (2022)
Martin Bompaire, Alexandre Gilotte, Benjamin Heymann
Causal Models for Real Time Bidding with Repeated User Interactions. KDD (2021)
Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR (2019)
Alexandre Gilotte
Ranking metrics on non-shuffled traffic. CoRR (2019)
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé
Offline A/B testing for Recommender Systems. CoRR (2018)
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé
Offline A/B Testing for Recommender Systems. WSDM (2018)