Search Results - "Azzimonti, Dario"

Efficient probabilistic reconciliation of forecasts for real-valued and count time series by Zambon, Lorenzo, Azzimonti, Dario, Corani, Giorgio

“…Hierarchical time series are common in several applied fields. The forecasts for these time series are required to be coherent, that is, to satisfy the…”
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Probabilistic reconciliation of count time series by Corani, Giorgio, Azzimonti, Dario, Rubattu, Nicolò

“…Forecast reconciliation is an important research topic. Yet, there is currently neither a formal framework nor a practical method for the probabilistic…”
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A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes by Benavoli, Alessio, Azzimonti, Dario, Piga, Dario

“…Skew-Gaussian Processes (SkewGPs) extend the multivariate Unified Skew-Normal distributions over finite dimensional vectors to distribution over functions…”
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Estimating Orthant Probabilities of High-Dimensional Gaussian Vectors with An Application to Set Estimation by Azzimonti, Dario, Ginsbourger, David

“…The computation of Gaussian orthant probabilities has been extensively studied for low-dimensional vectors. Here, we focus on the high-dimensional case and we…”
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Skew Gaussian processes for classification by Benavoli, Alessio, Azzimonti, Dario, Piga, Dario

“…Gaussian processes (GPs) are distributions over functions, which provide a Bayesian nonparametric approach to regression and classification. In spite of their…”
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Reducing probes for quality of transmission estimation in optical networks with active learning by Azzimonti, Dario, Rottondi, Cristina, Tornatore, Massimo

“…Estimating the quality of transmission (QoT) of a lightpath before its establishment is a critical procedure for efficient design and management of optical…”
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Correlated product of experts for sparse Gaussian process regression by Schürch, Manuel, Azzimonti, Dario, Benavoli, Alessio, Zaffalon, Marco

“…Gaussian processes (GPs) are an important tool in machine learning and statistics. However, off-the-shelf GP inference procedures are limited to datasets with…”
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Recursive estimation for sparse Gaussian process regression by Schürch, Manuel, Azzimonti, Dario, Benavoli, Alessio, Zaffalon, Marco

“…Gaussian Processes (GPs) are powerful kernelized methods for non-parametric regression used in many applications. However, their use is limited to a few…”
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Estimating Orthant Probabilities of High-Dimensional Gaussian Vectors with An Application to Set Estimation by Azzimonti, Dario, Ginsbourger, David

“…The computation of Gaussian orthant probabilities has been extensively studied for low-dimensional vectors. Here, we focus on the high-dimensional case and we…”
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Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited] by Azzimonti, Dario, Rottondi, Cristina, Giusti, Alessandro, Tornatore, Massimo, Bianco, Andrea

“…Machine learning (ML) is currently being investigated as an emerging technique to automate quality of transmission (QoT) estimation during lightpath deployment…”
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Efficient computation of counterfactual bounds by Zaffalon, Marco, Antonucci, Alessandro, Cabañas, Rafael, Huber, David, Azzimonti, Dario

“…We assume to be given structural equations over discrete variables inducing a directed acyclic graph, namely, a structural causal model, together with data…”
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Adaptive Design of Experiments for Conservative Estimation of Excursion Sets by Azzimonti, Dario, Ginsbourger, David, Chevalier, Clément, Bect, Julien, Richet, Yann

“…We consider the problem of estimating the set of all inputs that leads a system to some particular behavior. The system is modeled by an expensive-to-evaluate…”
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Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding by Azzimonti, Dario, Ginsbourger, David, Rohmer, Jérémy, Idier, Déborah

“…We consider the problem of describing excursion sets of a real-valued function f, that is, the set of inputs where f is above a fixed threshold. Such regions…”
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A tutorial on learning from preferences and choices with Gaussian Processes by Benavoli, Alessio, Azzimonti, Dario

“…Preference modelling lies at the intersection of economics, decision theory, machine learning and statistics. By understanding individuals' preferences and how…”
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Optical properties of deposit models for paints: full-fields FFT computations and representative volume element by Azzimonti, D.F., Willot, F., Jeulin, D.

“…A 3D model of microstructure containing spherical and rhombi-shaped inclusions 'falling' along a deposit direction is used to simulate the distribution of…”
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Probabilistic Reconciliation of Count Time Series by Corani, Giorgio, Azzimonti, Dario, Rubattu, Nicolò

“…Forecast reconciliation is an important research topic. Yet, there is currently neither formal framework nor practical method for the probabilistic…”
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Learning Choice Functions with Gaussian Processes by Benavoli, Alessio, Azzimonti, Dario, Piga, Dario

“…In consumer theory, ranking available objects by means of preference relations yields the most common description of individual choices. However,…”
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Efficient probabilistic reconciliation of forecasts for real-valued and count time series by Zambon, Lorenzo, Azzimonti, Dario, Corani, Giorgio

“…Hierarchical time series are common in several applied fields. The forecasts for these time series are required to be coherent, that is, to satisfy the…”
Get full text

Estimating orthant probabilities of high dimensional Gaussian vectors with an application to set estimation by Azzimonti, Dario, Ginsbourger, David

“…Journal of Computational and Graphical Statistics, Taylor \& Francis, 2018, 27 (2), pp.255-267 The computation of Gaussian orthant probabilities has been…”
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A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes by Benavoli, Alessio, Azzimonti, Dario, Piga, Dario

“…Gaussian Processes (GPs) are powerful nonparametric distributions over functions. For real-valued outputs, we can combine the GP prior with a Gaussian…”
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