Biography
Lorenzo Proietti is an academic researcher at TU Chemnitz. His research focuses on Statistical learning, Generalized Bayesian learning, Weak dependence.
Research Interests
- Statistical learning
- Generalized Bayesian learning
- Weak dependence
Publications
Mixed moving average field guided learning with unbounded losses.
I.V. Curato, L. Proietti, J. Sternkopf
Forthcoming, 2026
Feasible 3D mixed moving average field guided learning
L. Bardi, I.V. Curato, L. Proietti
Forthcoming, 2026
PAC-Bayesian optimization for deep stochastic neural network using spatio-temporal data
L. Bardi, I.V. Curato, L. Proietti
Arxiv preprint, 2026
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Mixed moving average field guided learning for spatio-temporal data
I.V. Curato, O. Furat, L. Proietti, B. Stroeh
Electronic Journal of Statistics, 2025
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