Pré-publications

1. Sergios AGAPIOU, Ismaël CASTILLO et Paul EGELS. Heavy-tailed and Horseshoe priors for regression and sparse Besov rates (2025), Arxiv eprint 2505.15543

2. Badr-Eddine CHÉRIEF-ABDELLATIF, Randal DOUC, Arnaud DOUCET et Hugo MARIVAL. On the Asymptotics of Importance Weighted Variational Inference (2025), Arxiv eprint 2501.08477 

3. Ismaël CASTILLO; Alice l'HUILLIER, Luke TRAVIS et Kolyan RAY,  A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression (2024), Arxiv eprint 2406.12659

4. Ismaël CASTILLO et Paul Egels, Posterior and variational inference for deep neural networks with heavy-tailed weights (2024), Arxiv e-print 2406.03369

Articles parus

1. Ismaël CASTILLO et Thibault RANDRIANARISOA. Deep Horseshoe Gaussian processes. Annals of Statistics, to appear. 2025

2. Ulysse Gazin, Ruth Heller, Etienne Roquain et Aldo Solari. Powerful batch conformal prediction for classification. AISTAT, 2025.

3. Ulysse Gazin, Ruth Heller, Ariane Marandon et Etienne Roquain. Selecting informative conformal prediction sets with false coverage rate control. To appear in Journal of the Royal Statistical Society: Series B, 2025

4. Elisabeth GASSIAT et Sylvain LE CORFF. Variational excess risk bound for general state space models Transactions on Machine Learning Research, (2025)

5. Charles RIOU, Pierre ALQUIER et Badr-Eddine CHÉRIEF-ABDELLATIF, Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes, Journal of Machine Learning Research, (2025)

6. Ulysse Gazin, Gilles Blanchard et Etienne Roquain. Transductive conformal inference with adaptive scores. AISTAT, 2024, selected for an oral presentation.

7. Elhadji C. FAYE, Mame Diarra FALL and Nicolas DOBIGEON.  Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling (2024), IEEE Transactions on Image Processing, 2024

8. Yi-Shan WU, Yijie ZHANG, Badr-Eddine CHÉRIEF-ABDELLATIF, Yevgeny SELDIN,  Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss, NeurIPS (2024)

9. Sergios AGAPIOU et Ismaël CASTILLO, Heavy-tailed Bayesian nonparametric adaptation, Annals of Statistics, (2024)

10. Kweku ABRAHAM, Ismaël CASTILLO et Etienne ROQUAIN, Sharp multiple testing boundary for sparse sequences, Annals of Statistics, (2024)

11. Mame Diarra FALL. Quantifying uncertainty in knee OsteoArthritis diagnosis, Proc of. IEEE Int. Symp. On Biomedical Imaging (ISBI), hal-04453938, version 1, (2024)

12. Alice l'HUILLIER, Luke TRAVIS, Ismael CASTILLO et Kolyan RAY.  Semiparametric inference using fractional posteriors. Journal of Machine Learning Research, (2023)