Dario Azzimonti

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Gaussian Process

Top Venues

GECCO Companion

Publications

Alessio Benavoli, Dario Azzimonti
A tutorial on learning from preferences and choices with Gaussian Processes. CoRR (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171 (2024)
Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. 34 (1) (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient Computation of Counterfactual Bounds. CoRR (2023)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112 (5) (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Bayesian Optimization For Choice Data. GECCO Companion (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Learning Choice Functions with Gaussian Processes. UAI (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Learning Choice Functions with Gaussian Processes. CoRR (2023)
Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
Probabilistic reconciliation of forecasts via importance sampling. CoRR (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. CoRR (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. PGM (2022)
Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, Andrea Bianco
Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited]. JOCN 13 (1) (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion (2021)
Dario Azzimonti, David Ginsbourger, Clément Chevalier, Julien Bect, Yann Richet
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics 63 (1) (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. 110 (11) (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Choice functions based multi-objective Bayesian optimisation. CoRR (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA (2021)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR (2021)
Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli
Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) (2021)
Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
Orthogonally Decoupled Variational Fourier Features. CoRR (2020)
Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, Andrea Bianco
Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets. OFC (2020)
Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) (2020)
Dario Azzimonti, Cristina Rottondi, Massimo Tornatore
Reducing probes for quality of transmission estimation in optical networks with active learning. JOCN 12 (1) (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR (2020)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive estimation for sparse Gaussian process regression. Autom. 120 (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Skew Gaussian processes for classification. Mach. Learn. 109 (9-10) (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Skew Gaussian Processes for Classification. CoRR (2020)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive Estimation for Sparse Gaussian Process Regression. CoRR (2019)
Dario Azzimonti, Cristina Rottondi, Massimo Tornatore
Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks. OFC (2019)
Dario Azzimonti, David Ginsbourger, Jérémy Rohmer, Déborah Idier
Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding. Technometrics 61 (4) (2019)
Dario Azzimonti, Julien Bect, Clément Chevalier, David Ginsbourger
Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. SIAM/ASA J. Uncertain. Quantification 4 (1) (2016)