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Martin Bompaire
Martin Bompaire
Criteo
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Title
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Cited by
Year
tick: A Python library for statistical learning, with an emphasis on Hawkes processes and time-dependent models
E Bacry, M Bompaire, P Deegan, S Gaïffas, SV Poulsen
The Journal of Machine Learning Research 18 (1), 7937-7941, 2017
89*2017
Sparse and low-rank multivariate Hawkes processes
E Bacry, M Bompaire, S Gaïffas, JF Muzy
Journal of Machine Learning Research 21 (50), 1-32, 2020
54*2020
Joint policy-value learning for recommendation
O Jeunen, D Rohde, F Vasile, M Bompaire
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
202020
Learning from Bandit Feedback: An Overview of the State-of-the-art
O Jeunen, D Mykhaylov, D Rohde, F Vasile, A Gilotte, M Bompaire
arXiv preprint arXiv:1909.08471, 2019
102019
Three methods for training on bandit feedback
D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen
arXiv preprint arXiv:1904.10799, 2019
72019
Dual optimization for convex constrained objectives without the gradient-lipschitz assumption
M Bompaire, E Bacry, S Gaïffas
arXiv preprint arXiv:1807.03545, 2018
52018
Causal models for real time bidding with repeated user interactions
M Bompaire, A Gilotte, B Heymann
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
32021
Machine learning based on Hawkes processes and stochastic optimization
M Bompaire
Ecole polytechnique, 2019
22019
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
I Aouali, A Benhalloum, M Bompaire, B Heymann, O Jeunen, D Rohde, ...
arXiv preprint arXiv:2209.08642, 2022
2022
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search
I Aouali, A Benhalloum, M Bompaire, A Ait Sidi Hammou, S Ivanov, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
2022
Robust label attribution for real-time bidding
M Bompaire, A Désir, B Heymann
arXiv preprint arXiv:2012.01767, 2020
2020
Bidding Through the Lens of Attribution: Pick the Right Labels!
M Bompaire, A Désir, B Heymann
arXiv preprint arXiv:2012.01767, 2020
2020
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Articles 1–12