Matteo Giordano

According to our database, Matteo Giordano authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A comparative analysis of machine learning algorithms for predicting probabilities of default.

Adrian Iulian Cristescu, Matteo Giordano

CoRR, June, 2025

2024

Statistical algorithms for low-frequency diffusion data: A PDE approach.

Matteo Giordano, Sven Wang

CoRR, 2024

2022

On the inability of Gaussian process regression to optimally learn compositional functions.

Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Bernstein-von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems.

Matteo Giordano, Hanne Kekkonen

SIAM/ASA J. Uncertain. Quantification, 2020

Nonparametric Bayesian inference for reversible multi-dimensional diffusions.

Matteo Giordano, Kolyan Ray

CoRR, 2020

2019

Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem.

Matteo Giordano, Richard Nickl

CoRR, 2019