Dario Azzimonti

Giorgio Corani

Stat. Comput., February, 2024

Efficient computation of counterfactual bounds.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2024

A tutorial on learning from preferences and choices with Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Correlated product of experts for sparse Gaussian process regression.

[BibT_eX]

[DOI]

Mach. Learn., May, 2023

Learning Choice Functions with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bayesian Optimization For Choice Data.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Probabilistic reconciliation of forecasts via importance sampling.

[BibT_eX]

[DOI]

Lorenzo Zambon

Giorgio Corani

CoRR, 2022

Bounding Counterfactuals under Selection Bias.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets.

[BibT_eX]

[DOI]

Technometrics, 2021

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited].

[BibT_eX]

[DOI]

JOCN, 2021

Choice functions based multi-objective Bayesian optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

Sparse Information Filter for Fast Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Preferential Bayesian optimisation with skew gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Skew Gaussian processes for classification.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Reducing probes for quality of transmission estimation in optical networks with active learning.

[BibT_eX]

[DOI]

Cristina Rottondi

Massimo Tornatore

JOCN, 2020

Orthogonally Decoupled Variational Fourier Features.

[BibT_eX]

[DOI]

CoRR, 2020

Recursive estimation for sparse Gaussian process regression.

[BibT_eX]

[DOI]

Autom., 2020

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule.

[BibT_eX]

[DOI]

Giorgio Corani

João P. S. C. Augusto

Marco Zaffalon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2019

Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding.

[BibT_eX]

[DOI]

Technometrics, 2019

Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks.

[BibT_eX]

[DOI]