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eustache diemert
eustache diemert
Criteo AI Lab
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Title
Cited by
Cited by
Year
A large scale benchmark for uplift modeling
E Diemert, A Betlei, C Renaudin, MR Amini
KDD, 2018
1122018
Attribution Modeling Increases Efficiency of Bidding in Display Advertising
E Diemert, J Meynet, P Galland, D Lefortier
KDD, 2017
622017
Prédictions d'activité dans les réseaux sociaux en ligne
F Kawala, A Douzal-Chouakria, E Gaussier, E Dimert
4ième conférence sur les modèles et l'analyse des réseaux: Approches …, 2013
622013
Unsupervised query categorization using automatically-built concept graphs
E Diemert, G Vandelle
Proceedings of the 18th international conference on World wide web, 461-470, 2009
362009
Categorizing queries and expanding keywords with a coreference graph
G Vandelle, E Diemert
US Patent 8,041,729, 2011
282011
Uplift modeling with generalization guarantees
A Betlei, E Diemert, MR Amini
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
232021
Uplift prediction with dependent feature representation in imbalanced treatment and control conditions
A Betlei, E Diemert, MR Amini
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
202018
Tarente: an experimental tool for extracting and exploring web aggregates
F Ghitalla, E Diemert, C Maussang, F Pfaender
Proceedings. 2004 International Conference on Information and Communication …, 2004
172004
Efficient kernelized ucb for contextual bandits
H Zenati, A Bietti, E Diemert, J Mairal, M Martin, P Gaillard
International Conference on Artificial Intelligence and Statistics, 5689-5720, 2022
122022
Predictive attribution-adjusted bidding for electronic advertisements
A Watine, C Mennesson, E Diemert, J Meynet, P Galland, D Lefortier
US Patent App. 15/409,420, 2018
102018
A large scale benchmark for individual treatment effect prediction and uplift modeling
E Diemert, A Betlei, C Renaudin, MR Amini, T Gregoir, T Rahier
arXiv preprint arXiv:2111.10106, 2021
92021
Counterfactual learning of continuous stochastic policies
H Zenati, A Bietti, M Martin, E Diemert, J Mairal
arXiv preprint arXiv:2004.11722, 2020
5*2020
Memorizing the Playout Policy
T Cazenave, E Diemert
Computer Games Workshop at IJCAI 2017, 2017
52017
Individual treatment prescription effect estimation in a low compliance setting
T Rahier, A Héliou, M Martin, C Renaudin, E Diemert
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
42021
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux
F Kawala, É Gaussier, A Douzal-Chouakria, E Diemert
Coria'2014, 1-15, 2014
42014
Sequential counterfactual risk minimization
H Zenati, E Diemert, M Martin, J Mairal, P Gaillard
International Conference on Machine Learning, 40681-40706, 2023
32023
Lessons from the AdKDD’21 Privacy-Preserving ML Challenge
E Diemert, R Fabre, A Gilotte, F Jia, B Leparmentier, J Mary, Z Qu, ...
Proceedings of the ACM Web Conference 2022, 2026-2035, 2022
32022
Predictive adjusted bidding for electronic advertisements
A De La Breteche, A Audran-Reiss, A Blanchard, A Chataignier, ...
US Patent 11,120,481, 2021
32021
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation
H Zenati, A Bietti, M Martin, E Diemert, P Gaillard, J Mairal
arXiv preprint arXiv:2004.11722, 2020
32020
Differentially Private Individual Treatment Effect Estimation from Aggregated Data
A Betlei, T Gregoir, T Rahier, A Bissuel, E Diemert, MR Amini
22021
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