Zaffalon, Marco

31 publications

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

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

PGM 2022 Bounding Counterfactuals Under Selection Bias Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti

ISIPTA 2021 Information Algebras of Coherent Sets of Gambles in General Possibility Spaces Juerg Kohlas, Arianna Casanova, Marco Zaffalon

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

ISIPTA 2021 The Sure Thing Marco Zaffalon, Enrique Miranda

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

PGM 2020 CREDICI: A Java Library for Causal Inference by Credal Networks Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon

PGM 2020 CREMA: A Java Library for Credal Network Inference David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon

ECML-PKDD 2020 Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon

PGM 2020 Structural Causal Models Are (Solvable by) Credal Networks Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas

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

MLJ 2018 Approximate Structure Learning for Large Bayesian Networks Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon

JAIR 2017 Axiomatising Incomplete Preferences Through Sets of Desirable Gambles Marco Zaffalon, Enrique Miranda

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

NeurIPS 2016 Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables Mauro Scanagatta, Giorgio Corani, Cassio P de Campos, Marco Zaffalon

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

NeurIPS 2015 Learning Bayesian Networks with Thousands of Variables Mauro Scanagatta, Cassio P de Campos, Giorgio Corani, Marco Zaffalon

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

JAIR 2012 Solving Limited Memory Influence Diagrams Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon

UAI 2012 The Complexity of Approximately Solving Influence Diagrams Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon

JAIR 2009 Conservative Inference Rule for Uncertain Reasoning Under Incompleteness Marco Zaffalon, Enrique Miranda

ECML-PKDD 2008 Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities Giorgio Corani, Marco Zaffalon

MLOSS 2008 JNCC2: The Java Implementation of Naive Credal Classifier 2 Giorgio Corani, Marco Zaffalon

JMLR 2008 Learning Reliable Classifiers from Small or Incomplete Data Sets: The Naive Credal Classifier 2 Giorgio Corani, Marco Zaffalon

UAI 2003 Updating with Incomplete Observations Gert de Cooman, Marco Zaffalon

UAI 2002 Robust Feature Selection by Mutual Information Distributions Marco Zaffalon, Marcus Hutter