Erik Burman, Rebecca Durst, Miguel Angel Fernández, Johnny Guzmán, Sijing Liu. Estimates of discrete time derivatives for the parabolic-parabolic Robin-Robin coupling method. 2024. ⟨hal-04530917⟩

Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. Journal of Machine Learning Research, 2023, 24 (194), pp.1-81. ⟨hal-03408976v3⟩

Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean. Machine Learning, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩

Felix Biggs, Benjamin Guedj. On Margins and Derandomisation in PAC-Bayes. AISTATS 2022 - 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. ⟨hal-03282597v2⟩

Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩. ⟨hal-03024720⟩