Matteo Giordano

Orcid: 0000-0003-1581-1706

According to our database1, Matteo Giordano authored at least 4 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
On the inability of Gaussian process regression to optimally learn compositional functions.
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.
SIAM/ASA J. Uncertain. Quantification, 2020

Nonparametric Bayesian inference for reversible multi-dimensional diffusions.
CoRR, 2020

2019
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem.
CoRR, 2019


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