Unsupervised query categorization using automatically-built concept graphs. - Eustache Diemert; Gilles Vandelle (WWW, 2009)

Buzz in social media. - François Kawala; Ahlame Douzal; Éric Gaussier; Eustache Diemert (UCI Machine Learning Repository, 2013)

Predict keywords activities in a online social media. - François Kawala; Ahlame Douzal; Éric Gaussier; Eustache Diemert (UCI Machine Learning Repository, 2013)

Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. - François Kawala; Éric Gaussier; Ahlame Douzal; Eustache Diemert (CORIA-CIFED, 2014)

A study of different keyword activity prediction problems in social media. - François Kawala; Éric Gaussier; Ahlame Douzal Chouakria; Eustache Diemert (Int. J. Soc. Netw. Min., 2016)

Memorizing the Playout Policy. - Tristan Cazenave; Eustache Diemert (CGW@IJCAI, 2017)

Attribution Modeling Increases Efficiency of Bidding in Display Advertising. - Eustache Diemert; Julien Meynet; Pierre Galland; Damien Lefortier (ADKDD@KDD, 2017)

Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (ICONIP (5), 2018)

Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. - Houssam Zenati; Alberto Bietti; Matthieu Martin; Eustache Diemert; Julien Mairal (CoRR, 2020)

Individual Treatment Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (CoRR, 2020)

Treatment Targeting by AUUC Maximization with Generalization Guarantees. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (CoRR, 2020)

Uplift Modeling with Generalization Guarantees. - Artem Betlei; Eustache Diemert; Massih-Reza Amini (KDD, 2021)

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (KDD, 2021)

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. - Eustache Diemert; Artem Betlei; Christophe Renaudin; Massih-Reza Amini; Théophane Gregoir; Thibaud Rahier (CoRR, 2021)

Efficient Kernelized UCB for Contextual Bandits. - Houssam Zenati; Alberto Bietti; Eustache Diemert; Julien Mairal; Matthieu Martin; Pierre Gaillard (AISTATS, 2022)

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. - Eustache Diemert; Romain Fabre; Alexandre Gilotte; Fei Jia; Basile Leparmentier; Jérémie Mary; Zhonghua Qu; Ugo Tanielian; Hui Yang (WWW, 2022)

Efficient Kernel UCB for Contextual Bandits. - Houssam Zenati; Alberto Bietti; Eustache Diemert; Julien Mairal; Matthieu Martin; Pierre Gaillard (CoRR, 2022)

Sequential Counterfactual Risk Minimization. - Houssam Zenati; Eustache Diemert; Matthieu Martin; Julien Mairal; Pierre Gaillard (ICML, 2023)

FairJob: A Real-World Dataset for Fairness in Online Systems. - Mariia Vladimirova; Federico Pavone; Eustache Diemert (NeurIPS, 2024)

Open Research Challenges for Private Advertising Systems Under Local Differential Privacy. - Matilde Tullii; Solenne Gaucher; Hugo Richard; Eustache Diemert; Vianney Perchet; Alain Rakotomamonjy; Clément Calauzènes; Maxime Vono (WISE (5), 2024)

Counterfactual Learning of Stochastic Policies with Continuous Actions. - Houssam Zenati; Alberto Bietti; Matthieu Martin; Eustache Diemert; Pierre Gaillard; Julien Mairal (Trans. Mach. Learn. Res., 2025)