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2020 – today
- 2024
[i9]Mariia Vladimirova, Federico Pavone, Eustache Diemert:
FairJob: A Real-World Dataset for Fairness in Online Systems. CoRR abs/2407.03059 (2024)- 2023
- [c10]Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard:
Sequential Counterfactual Risk Minimization. ICML 2023: 40681-40706 - [i8]Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard:
Sequential Counterfactual Risk Minimization. CoRR abs/2302.12120 (2023) - 2022
- [c9]Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard:
Efficient Kernelized UCB for Contextual Bandits. AISTATS 2022: 5689-5720 - [c8]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: 2026-2035 - [i7]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 abs/2201.13123 (2022) - [i6]Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard:
Efficient Kernel UCB for Contextual Bandits. CoRR abs/2202.05638 (2022) - 2021
- [c7]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Uplift Modeling with Generalization Guarantees. KDD 2021: 55-65 - [c6]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD 2021: 1399-1409 - [i5]Eustache Diemert, Artem Betlei
, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier:
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. CoRR abs/2111.10106 (2021) - 2020
- [i4]Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal:
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR abs/2004.11722 (2020) - [i3]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR abs/2008.03235 (2020) - [i2]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Treatment Targeting by AUUC Maximization with Generalization Guarantees. CoRR abs/2012.09897 (2020)
2010 – 2019
- 2018
- [c5]Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions. ICONIP (5) 2018: 47-57 - 2017
- [c4]Tristan Cazenave, Eustache Diemert:
Memorizing the Playout Policy. CGW@IJCAI 2017: 96-107 - [c3]Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier:
Attribution Modeling Increases Efficiency of Bidding in Display Advertising. ADKDD@KDD 2017: 2:1-2:6 - [i1]Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier:
Attribution Modeling Increases Efficiency of Bidding in Display Advertising. CoRR abs/1707.06409 (2017) - 2016
- [j1]François Kawala, Éric Gaussier, Ahlame Douzal Chouakria, Eustache Diemert:
A study of different keyword activity prediction problems in social media. Int. J. Soc. Netw. Min. 2(3): 224-255 (2016) - 2014
- [c2]François Kawala, Éric Gaussier, Ahlame Douzal, Eustache Diemert:
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. CORIA-CIFED 2014: 337-351 - 2013
- [d2]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Buzz in social media. UCI Machine Learning Repository, 2013
- [d1]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Predict keywords activities in a online social media. UCI Machine Learning Repository, 2013
2000 – 2009
- 2009
- [c1]Eustache Diemert, Gilles Vandelle:
Unsupervised query categorization using automatically-built concept graphs. WWW 2009: 461-470
Coauthor Index
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