Eustache Diemert

23 papers A* 6A 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Counterfactual Learning of Stochastic Policies with Continuous Actions.
Trans. Mach. Learn. Res.
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal
2024 A* conf
FairJob: A Real-World Dataset for Fairness in Online Systems.
NeurIPS
Mariia Vladimirova, Federico Pavone, Eustache Diemert
2024 J jnl
FairJob: A Real-World Dataset for Fairness in Online Systems.
CoRR
Mariia Vladimirova, Federico Pavone, Eustache Diemert
2024 — conf
Open Research Challenges for Private Advertising Systems Under Local Differential Privacy.
WISE (5)
Matilde Tullii, Solenne Gaucher, Hugo Richard, Eustache Diemert, Vianney Perchet, Alain Rakotomamonjy, Clément Calauzènes, Maxime Vono
2023 A* conf
Sequential Counterfactual Risk Minimization.
ICML
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2023 J jnl
Sequential Counterfactual Risk Minimization.
CoRR
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2022 J jnl
Efficient Kernel UCB for Contextual Bandits.
CoRR
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022 A conf
Efficient Kernelized UCB for Contextual Bandits.
AISTATS
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022 A* conf
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.
WWW
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
2022 J jnl
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.
CoRR
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
2021 J jnl
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling.
CoRR
Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier
2021 A* conf
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.
KDD
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2021 A* conf
Uplift Modeling with Generalization Guarantees.
KDD
Artem Betlei, Eustache Diemert, Massih-Reza Amini
2020 J jnl
Individual Treatment Effect Estimation in a Low Compliance Setting.
CoRR
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2020 J jnl
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions.
CoRR
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal
2020 J jnl
Treatment Targeting by AUUC Maximization with Generalization Guarantees.
CoRR
Artem Betlei, Eustache Diemert, Massih-Reza Amini
2018 — conf
Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions.
ICONIP (5)
Artem Betlei, Eustache Diemert, Massih-Reza Amini
2017 — conf
Attribution Modeling Increases Efficiency of Bidding in Display Advertising.
ADKDD@KDD
Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier
2017 J jnl
Attribution Modeling Increases Efficiency of Bidding in Display Advertising.
CoRR
Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier
2017 — conf
Memorizing the Playout Policy.
CGW@IJCAI
Tristan Cazenave, Eustache Diemert
2016 J jnl
A study of different keyword activity prediction problems in social media.
Int. J. Soc. Netw. Min.
François Kawala, Éric Gaussier, Ahlame Douzal Chouakria, Eustache Diemert
2014 — conf
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux.
CORIA-CIFED
François Kawala, Éric Gaussier, Ahlame Douzal, Eustache Diemert
2009 A* conf
Unsupervised query categorization using automatically-built concept graphs.
WWW
Eustache Diemert, Gilles Vandelle