Benavoli, Alessio

23 publications

ISIPTA 2025 The AI Off-Switch Problem as a Signalling Game: Bounded Rationality and Incomparability Alessio Benavoli, Alessandro Facchini, Marco Zaffalon

UAI 2024 Linearly Constrained Gaussian Processes Are SkewGPs: Application to Monotonic Preference Learning and Desirability Alessio Benavoli, Dario Azzimonti

ISIPTA 2023 Closure Operators, Classifiers and Desirability Alessio Benavoli, Alessandro Facchini, Marco Zaffalon

MLJ 2023 Correlated Product of Experts for Sparse Gaussian Process Regression Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon

UAI 2023 Learning Choice Functions with Gaussian Processes Alessio Benavoli, Dario Azzimonti, Dario Piga

MLJ 2021 A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes Alessio Benavoli, Dario Azzimonti, Dario Piga

ISIPTA 2021 Nonlinear Desirability as a Linear Classification Problem Arianna Casanova, Alessio Benavoli, Marco Zaffalon

ISIPTA 2021 Quantum Indistinguishability Through Exchangeable Desirable Gambles Alessio Benavoli, Alessandro Facchini, Marco Zaffalon

ECML-PKDD 2021 Sparse Information Filter for Fast Gaussian Process Regression Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli

ECML-PKDD 2021 Time Series Forecasting with Gaussian Processes Needs Priors Giorgio Corani, Alessio Benavoli, Marco Zaffalon

MLJ 2020 Skew Gaussian Processes for Classification Alessio Benavoli, Dario Azzimonti, Dario Piga

ISIPTA 2019 Bernstein’s Socks, Polynomial-Time Provable Coherence and Entanglement Alessio Benavoli, Alessandro Facchini, Marco Zaffalon

MLJ 2017 Statistical Comparison of Classifiers Through Bayesian Hierarchical Modelling Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon

JMLR 2017 Time for a Change: A Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis Alessio Benavoli, Giorgio Corani, Janez Demšar, Marco Zaffalon

JMLR 2016 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? Alessio Benavoli, Giorgio Corani, Francesca Mangili

MLJ 2015 A Bayesian Approach for Comparing Cross-Validated Algorithms on Multiple Data Sets Giorgio Corani, Alessio Benavoli

ICML 2015 A Bayesian Nonparametric Procedure for Comparing Algorithms Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon

ECML-PKDD 2015 Bayesian Hypothesis Testing in Machine Learning Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon

AISTATS 2015 Gaussian Processes for Bayesian Hypothesis Tests on Regression Functions Alessio Benavoli, Francesca Mangili

ICML 2014 A Bayesian Wilcoxon Signed-Rank Test Based on the Dirichlet Process Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri

JAIR 2014 Probabilistic Inference in Credal Networks: New Complexity Results Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci

UAI 2013 On the Complexity of Strong and Epistemic Credal Networks Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci

IJCAI 2011 Inference with Multinomial Data: Why to Weaken the Prior Strength Cassio P. de Campos, Alessio Benavoli