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Martin Bompaire
Martin Bompaire
Criteo
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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
Journal of Machine Learning Research 18 (214), 1-5, 2018
120*2018
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
91*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
332020
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
152019
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
112021
Three methods for training on bandit feedback
D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen
arXiv preprint arXiv:1904.10799, 2019
102019
Machine learning based on Hawkes processes and stochastic optimization
M Bompaire
Ecole polytechnique, 2019
62019
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
52022
Dual optimization for convex constrained objectives without the gradient-lipschitz assumption
M Bompaire, E Bacry, S Gaïffas
arXiv preprint arXiv:1807.03545, 2018
52018
Fixed point label attribution for real-time bidding
M Bompaire, A Désir, B Heymann
Manufacturing & Service Operations Management 26 (3), 1043-1061, 2024
2*2024
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
22022
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