Eustache Diemert

According to our database, Eustache Diemert authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sequential Counterfactual Risk Minimization.

Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard

Proceedings of the International Conference on Machine Learning, 2023

2022

Efficient Kernel UCB for Contextual Bandits.

Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

CoRR, 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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Efficient Kernelized UCB for Contextual Bandits.

Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Uplift Modeling with Generalization Guarantees.

Artem Betlei, Eustache Diemert, Massih-Reza Amini

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Treatment Targeting by AUUC Maximization with Generalization Guarantees.

Artem Betlei, Eustache Diemert, Massih-Reza Amini

CoRR, 2020

Individual Treatment Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

CoRR, 2020

Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions.

Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal

CoRR, 2020

2018

Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions.

Artem Betlei, Eustache Diemert, Massih-Reza Amini

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Attribution Modeling Increases Efficiency of Bidding in Display Advertising.

Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Memorizing the Playout Policy.

Tristan Cazenave, Eustache Diemert

Proceedings of the Computer Games - 6th Workshop, 2017

2016

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

2014

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

Proceedings of the CORIA 2014, 2014

2013

Predict keywords activities in a online social media.

François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert

Dataset, December, 2013

Buzz in social media.

François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert

Dataset, May, 2013

2009

Unsupervised query categorization using automatically-built concept graphs.

Eustache Diemert, Gilles Vandelle

Proceedings of the 18th International Conference on World Wide Web, 2009