Dario Azzimonti

37 papers A 3B 1Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intermittent time series forecasting: local vs global models. CoRR Stefano Damato, Nicolò Rubattu, Dario Azzimonti, Giorgio Corani
2025	J	`jnl`	BayesReconPy: A Python package for forecast reconciliation. J. Open Source Softw. Anubhab Biswas, Lorenzo Nespoli, Dario Azzimonti, Lorenzo Zambon, Nicolò Rubattu, Giorgio Corani
2025	J	`jnl`	Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood. CoRR Stefano Damato, Dario Azzimonti, Giorgio Corani
2024	J	`jnl`	A tutorial on learning from preferences and choices with Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti
2024	J	`jnl`	Efficient computation of counterfactual bounds. Int. J. Approx. Reason. Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2024	J	`jnl`	Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
2024	A	`conf`	Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability. UAI Alessio Benavoli, Dario Azzimonti
2024	A	`conf`	Probabilistic reconciliation of mixed-type hierarchical time series. UAI Lorenzo Zambon, Dario Azzimonti, Nicolò Rubattu, Giorgio Corani
2023	—	`conf`	Bayesian Optimization For Choice Data. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Correlated product of experts for sparse Gaussian process regression. Mach. Learn. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2023	J	`jnl`	Efficient Computation of Counterfactual Bounds. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2023	A	`conf`	Learning Choice Functions with Gaussian Processes. UAI Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Learning Choice Functions with Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2022	—	`conf`	Bounding Counterfactuals under Selection Bias. PGM Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2022	J	`jnl`	Bounding Counterfactuals under Selection Bias. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2022	J	`jnl`	Probabilistic reconciliation of forecasts via importance sampling. CoRR Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
2021	B	`conf`	A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics Dario Azzimonti, David Ginsbourger, Clément Chevalier, Julien Bect, Yann Richet
2021	J	`jnl`	Choice functions based multi-objective Bayesian optimisation. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited]. JOCN Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, Andrea Bianco
2021	J	`jnl`	Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2021	—	`conf`	Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	—	`conf`	Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli
2020	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	—	`conf`	Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets. OFC Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, Andrea Bianco
2020	J	`jnl`	Orthogonally Decoupled Variational Fourier Features. CoRR Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	—	`conf`	Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
2020	J	`jnl`	Recursive estimation for sparse Gaussian process regression. Autom. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Reducing probes for quality of transmission estimation in optical networks with active learning. JOCN Dario Azzimonti, Cristina Rottondi, Massimo Tornatore
2020	J	`jnl`	Skew Gaussian Processes for Classification. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Skew Gaussian processes for classification. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2019	J	`jnl`	Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding. Technometrics Dario Azzimonti, David Ginsbourger, Jérémy Rohmer, Déborah Idier
2019	J	`jnl`	Recursive Estimation for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2019	—	`conf`	Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks. OFC Dario Azzimonti, Cristina Rottondi, Massimo Tornatore
2016	J	`jnl`	Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. SIAM/ASA J. Uncertain. Quantification Dario Azzimonti, Julien Bect, Clément Chevalier, David Ginsbourger