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Dario Azzimonti
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Journal Articles
- 2024
- [j11]Marco Zaffalon, Alessandro Antonucci
, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171: 109111 (2024) - [j10]Lorenzo Zambon, Dario Azzimonti, Giorgio Corani:
Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. 34(1): 21 (2024) - 2023
- [j9]Manuel Schürch
, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
:
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112(5): 1411-1432 (2023) - 2021
- [j8]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): A56-A66 (2021) - [j7]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): 3095-3133 (2021) - [j6]Dario Azzimonti
, David Ginsbourger
, Clément Chevalier, Julien Bect, Yann Richet:
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics 63(1): 13-26 (2021) - 2020
- [j5]Manuel Schürch
, Dario Azzimonti
, Alessio Benavoli, Marco Zaffalon
:
Recursive estimation for sparse Gaussian process regression. Autom. 120: 109127 (2020) - [j4]Dario Azzimonti
, Cristina Rottondi
, Massimo Tornatore
:
Reducing probes for quality of transmission estimation in optical networks with active learning. JOCN 12(1): A38-A48 (2020) - [j3]Alessio Benavoli
, Dario Azzimonti
, Dario Piga
:
Skew Gaussian processes for classification. Mach. Learn. 109(9-10): 1877-1902 (2020) - 2019
- [j2]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): 474-493 (2019) - 2016
- [j1]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): 850-874 (2016)
Conference and Workshop Papers
- 2023
- [c9]Alessio Benavoli
, Dario Azzimonti
, Dario Piga
:
Bayesian Optimization For Choice Data. GECCO Companion 2023: 2272-2279 - [c8]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. UAI 2023: 141-151 - 2022
- [c7]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. PGM 2022: 289-300 - 2021
- [c6]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: 1-2 - [c5]Alessio Benavoli, Dario Azzimonti
, Dario Piga
:
Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion 2021: 1842-1850 - [c4]Lucas Kania
, Manuel Schürch
, Dario Azzimonti
, Alessio Benavoli
:
Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) 2021: 527-542 - 2020
- [c3]Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, Andrea Bianco:
Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets. OFC 2020: 1-3 - [c2]Giorgio Corani, Dario Azzimonti
, João P. S. C. Augusto, Marco Zaffalon
:
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) 2020: 211-226 - 2019
- [c1]Dario Azzimonti, Cristina Rottondi, Massimo Tornatore:
Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks. OFC 2019: 1-3
Informal and Other Publications
- 2024
- [i12]Alessio Benavoli, Dario Azzimonti:
A tutorial on learning from preferences and choices with Gaussian Processes. CoRR abs/2403.11782 (2024) - 2023
- [i11]Alessio Benavoli, Dario Azzimonti, Dario Piga
:
Learning Choice Functions with Gaussian Processes. CoRR abs/2302.00406 (2023) - [i10]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient Computation of Counterfactual Bounds. CoRR abs/2307.08304 (2023) - 2022
- [i9]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. CoRR abs/2208.01417 (2022) - [i8]Lorenzo Zambon, Dario Azzimonti, Giorgio Corani:
Probabilistic reconciliation of forecasts via importance sampling. CoRR abs/2210.02286 (2022) - 2021
- [i7]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Choice functions based multi-objective Bayesian optimisation. CoRR abs/2110.08217 (2021) - [i6]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR abs/2112.09519 (2021) - 2020
- [i5]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian Processes for Classification. CoRR abs/2005.12987 (2020) - [i4]Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon:
Orthogonally Decoupled Variational Fourier Features. CoRR abs/2007.06363 (2020) - [i3]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR abs/2008.06677 (2020) - [i2]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR abs/2012.06846 (2020) - 2019
- [i1]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive Estimation for Sparse Gaussian Process Regression. CoRR abs/1905.11711 (2019)
Coauthor Index
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last updated on 2024-08-05 21:14 CEST by the dblp team
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