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PUBLICATIONS
La liste complète de mes publications est disponible ici.
Articles
récents (depuis 2024)
- Z. Al Masry, R. Pic, C. Dombry, C. Devalland. A new methodology to
predict the oncotype scores based on clinico-pathological data with
similar tumor profiles. Breast Cancer Res Treat 3 (2024), 587-598. doi
- C.Dombry, Y.Esstafa, The vanishing learning rate asymptotic for linear L2-boosting. ESAIM:PS 28 (2024), 228-257. doi
- C.Dombry,
J.-J. Duchamps, Infinitesimal Gradient Boosting. Stochastic Processes
and Their Applications 170 (2024), 104310. doi
- C.Dombry, J.-J. Duchamps, A large sample theory for infinitesimal gradient boosting. Bernoulli 20 (2024), 1894-1920. doi
- C.Spychala, C.Dombry,
C.Goga. Variable selection methods for Log-Gaussian Cox Processes: a
case-study on accident data. Spatial Statistics 61 (2024). doi
- C. Dombry, T. Modeste, R. Pic. Stone's theorem for
distributional regression in Wasserstein distance. Journal of Non
Parametric Statistics 37 (2024), 430 - 452. doi
- T. Modeste, C. Dombry. Characterization of translation
invariant MMD on R^d and connections with Wasserstein distances. Journal of Machine Learning Research 25 (2024), 1-39. link
- C.
Dombry, A. Zaoui. Distributional regression: CRPS-error bounds for
model fitting, model selection and convex aggregation. Advances in
Neural Information Processing Systems (NeurIPS 2024). link
- B.Bobbia, C.Dombry, D.Varron. A Donsker and Glivenko-Cantelli for
random measures linked to extreme value theory. Scandinavian Journal of
Statistics 52 (2025), 1708-1734. link
- R. Pic, C. Dombry, P. Naveau, M. Taillardat. Distributional
Regression U-Nets for the Postprocessing of Precipitation Ensemble
Forecasts. Artificial Intelligence for the Earth System, 4 (2025),
240067. link
- R. Pic, C. Dombry, P. Naveau, M. Taillardat. Proper scoring rules
for multivariate probabilistic forecasts based on aggregation and
transformation. Advances in Statistical Climatology, Meteorology and
Oceanography 11 (2025), 23–58. link
- M. Mayala, O. Wintenberger, C. Tillier, C. Dombry. Infinite
random forests for imbalanced classification tasks. Electronic Journal
of Statistics 20 (2026), 2314-2365. link
- T. Modeste, C. Dombry, A.L. Fougeres. Modeling and scoring
dynamic forecast. Annals IHP Probability and Statistics (2026), to appear. hal-04056397
- C. Dombry, S. Padoan, S. Rizzelli. Asymptotic theory for Bayesian
inference and prediction -- from the ordinary to a conditional
Peaks-Over-Threshold method. Bernoulli (2026), to appear. arXiv:2310.06720
Prépublications
- T. Modeste, C. Dombry. A.L. Fougères. Modeling and scoring dynamic forecast. hal-04056397
- A. Zaoui, C. Dombry. Distributional regression with reject option. arXiv:2503.23782
- M. Dagdoug, C. Dombry, J.-J. Duchamps. An RKHS perspective on tree ensembles. arXiv:2512.00397
- C. Dombry, J.-J. Duchamps. A functional central limit theorem for kernel gradient flow and infinitesimal gradient boosting. arXiv:2606.25494
- B. Leroux, C. Dombry, A. Sabourin. Out-of-Distribution
generalization of quantile regression with heavy-tailed input: an SVM
approach. arXiv:2606.00265
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