Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. - Dario Azzimonti; Julien Bect; Clément Chevalier; David Ginsbourger (SIAM/ASA J. Uncertain. Quantification, 2016)

Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks. - Dario Azzimonti; Cristina Rottondi; Massimo Tornatore (OFC, 2019)

Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding. - Dario Azzimonti; David Ginsbourger; Jérémy Rohmer 001; Déborah Idier (Technometrics, 2019)

Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets. - Dario Azzimonti; Cristina Rottondi; Alessandro Giusti; Massimo Tornatore; Andrea Bianco (OFC, 2020)

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. - Giorgio Corani; Dario Azzimonti; João P. S. C. Augusto; Marco Zaffalon (ECML/PKDD (3), 2020)

Recursive estimation for sparse Gaussian process regression. - Manuel Schürch; Dario Azzimonti; Alessio Benavoli; Marco Zaffalon (Autom., 2020)

Orthogonally Decoupled Variational Fourier Features. - Dario Azzimonti; Manuel Schürch; Alessio Benavoli; Marco Zaffalon (CoRR, 2020)

Reducing probes for quality of transmission estimation in optical networks with active learning. - Dario Azzimonti; Cristina Rottondi; Massimo Tornatore (JOCN, 2020)

Skew Gaussian processes for classification. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2020)

Preferential Bayesian optimisation with skew gaussian processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2021)

Sparse Information Filter for Fast Gaussian Process Regression. - Lucas Kania; Manuel Schürch; Dario Azzimonti; Alessio Benavoli (ECML/PKDD (3), 2021)

Choice functions based multi-objective Bayesian optimisation. - Alessio Benavoli; Dario Azzimonti; Dario Piga (CoRR, 2021)

Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited]. - Dario Azzimonti; Cristina Rottondi; Alessandro Giusti; Massimo Tornatore; Andrea Bianco (JOCN, 2021)

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2021)

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. - Dario Azzimonti; David Ginsbourger; Clément Chevalier; Julien Bect; Yann Richet (Technometrics, 2021)

Bounding Counterfactuals under Selection Bias. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001; David Huber 001; Dario Azzimonti (PGM, 2022)

Probabilistic reconciliation of forecasts via importance sampling. - Lorenzo Zambon; Dario Azzimonti; Giorgio Corani (CoRR, 2022)

Bayesian Optimization For Choice Data. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2023)

Learning Choice Functions with Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (UAI, 2023)

Correlated product of experts for sparse Gaussian process regression. - Manuel Schürch; Dario Azzimonti; Alessio Benavoli; Marco Zaffalon (Mach. Learn., 2023)

Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability. - Alessio Benavoli; Dario Azzimonti (UAI, 2024)

Probabilistic reconciliation of mixed-type hierarchical time series. - Lorenzo Zambon; Dario Azzimonti; Nicolò Rubattu; Giorgio Corani (UAI, 2024)

A tutorial on learning from preferences and choices with Gaussian Processes. - Alessio Benavoli; Dario Azzimonti (CoRR, 2024)

Efficient computation of counterfactual bounds. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001; David Huber 001; Dario Azzimonti (Int. J. Approx. Reason., 2024)

Efficient probabilistic reconciliation of forecasts for real-valued and count time series. - Lorenzo Zambon; Dario Azzimonti; Giorgio Corani (Stat. Comput., 2024)

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood. - Stefano Damato; Dario Azzimonti; Giorgio Corani (CoRR, 2025)

BayesReconPy: A Python package for forecast reconciliation. - Anubhab Biswas; Lorenzo Nespoli; Dario Azzimonti; Lorenzo Zambon; Nicolò Rubattu; Giorgio Corani (J. Open Source Softw., 2025)