Publications

Working Papers

Thibault Randrianarisoa, Lukas Steinberger and Botond Szabó
Towards multi-purpose locally differentially private synthetic data release via spline wavelet plug-in estimation

Preprints

Ismaël Castillo and Thibault Randrianarisoa
Deep Horseshoe Gaussian Processes
Accepted at The Annals of Statistics.
Preprint

Refereed Journal Publications

Neil Deo and Thibault Randrianarisoa
On adaptive confidence sets for the Wasserstein distances
In Bernoulli 29 (3) 2119 - 2141, August 2023.
DOI | BibTeX | Preprint

Ismaël Castillo and Thibault Randrianarisoa
Optional Pólya trees: Posterior rates and uncertainty quantification
In Electron. J. Statist. 16 (2) 6267 - 6312, 2022.
DOI | BibTeX | Preprint

Thibault Randrianarisoa
Smoothing and adaptation of shifted Pólya tree ensembles
In Bernoulli 28 (4) 2492 - 2517, November 2022.
DOI | BibTeX | Preprint

Refereed Conference Publications

Thibault Randrianarisoa and Botond Szabó
Variational Gaussian processes for linear inverse problems
In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Main Conference Track.
Paper | Supplement | BibTeX

Theses

Thibault Randrianarisoa
Contributions to the theoretical analysis of Statistical learning and Uncertainty Quantification methods
Doctoral Thesis
URL