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 | 33 | 2020 |
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 | 15 | 2019 |
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 | 11 | 2021 |
Three methods for training on bandit feedback D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen arXiv preprint arXiv:1904.10799, 2019 | 10 | 2019 |
Machine learning based on Hawkes processes and stochastic optimization M Bompaire Ecole polytechnique, 2019 | 6 | 2019 |
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 | 5 | 2022 |
Dual optimization for convex constrained objectives without the gradient-lipschitz assumption M Bompaire, E Bacry, S Gaïffas arXiv preprint arXiv:1807.03545, 2018 | 5 | 2018 |
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 | 2 | 2022 |