Items where Author is "Azzimonti, Dario Filippo"

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Number of items: 9.

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2023) Bayesian Optimization For Choice Data. In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation UNSPECIFIED.

Schürch, Manuel and Azzimonti, Dario Filippo and Benavoli, Alessio and Zaffalon, Marco (2023) Correlated product of experts for sparse Gaussian process regression. Machine Learning, 112 (5). pp. 1411-1432. ISSN 0885-6125

Corani, Giorgio and Azzimonti, Dario Filippo and Rubattu, Nicolò (2023) Probabilistic reconciliation of count time series. International Journal of Forecasting. (In Press)

Azzimonti, Dario Filippo and Ginsbourger, David and Chevalier, Clément and Bect, Julien and Richet, Yann (2021) Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics, 63 (1). pp. 13-26. ISSN 0040-1706

Azzimonti, Dario Filippo and Rottondi, Cristina and Giusti, Alessandro and Tornatore, Massimo and Bianco, Andrea (2021) Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited]. Journal of Optical Communications and Networking, 13 (1). A56. ISSN 1943-0620

Kania, Lucas and Schürch, Manuel and Azzimonti, Dario Filippo and Benavoli, Alessio (2021) Sparse Information Filter for Fast Gaussian Process Regression. In: Machine Learning and Knowledge Discovery in Databases. Research Track. Springer, pp. 527-542.

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2021) A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Machine Learning, 110 (11-12). pp. 3095-3133. ISSN 0885-6125

Corani, Giorgio and Azzimonti, Dario Filippo and Augusto, J.P.S.C. and Zaffalon, Marco (2020) Probabilistic reconciliation of hierarchical forecast via Bayes’ rule. In: Proceedings ECML - PKDD 2020.

Benavoli, Alessio and Azzimonti, Dario Filippo and Piga, Dario (2020) Skew Gaussian processes for classification. Machine Learning, 109 (9-10). pp. 1877-1902. ISSN 0885-6125

This list was generated on Mon Apr 15 08:17:59 2024 CEST.