Marco Zaffalon

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 73

Top Venues

CoRR

Int. J. Approx. Reason.

ISIPTA

PGM

Publications

Vani Kanjirangat, Alessandro Antonucci, Marco Zaffalon
On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. Text2Story@ECIR (2024)
Marco Zaffalon, Alessandro Antonucci
A Note on Bayesian Networks with Latent Root Variables. CoRR (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171 (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
Approximating counterfactual bounds while fusing observational, biased and randomised data sources. Int. J. Approx. Reason. 162 (2023)
Arianna Casanova, Alessio Benavoli, Marco Zaffalon
Nonlinear desirability as a linear classification problem. Int. J. Approx. Reason. 152 (2023)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources. CoRR (2023)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient Computation of Counterfactual Bounds. CoRR (2023)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Closure operators, classifiers and desirability. ISIPTA (2023)
David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon
Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR (2023)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112 (5) (2023)
Alessandro Antonucci, Gregorio Piqué, Marco Zaffalon
Zero-shot Causal Graph Extrapolation from Text via LLMs. CoRR (2023)
Enrique Miranda, Marco Zaffalon
Nonlinear desirability theory. Int. J. Approx. Reason. 154 (2023)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Quantum indistinguishability through exchangeability. Int. J. Approx. Reason. 151 (2022)
Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR (2022)
Arianna Casanova, Juerg Kohlas, Marco Zaffalon
Information algebras in the theory of imprecise probabilities. Int. J. Approx. Reason. 142 (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. CoRR (2022)
Arianna Casanova, Enrique Miranda, Marco Zaffalon
Joint Desirability Foundations of Social Choice and Opinion Pooling. ISAIM (2022)
Arianna Casanova, Juerg Kohlas, Marco Zaffalon
Information algebras in the theory of imprecise probabilities, an extension. Int. J. Approx. Reason. 150 (2022)
Enrique Miranda, Marco Zaffalon
Nonlinear desirability theory. CoRR (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. PGM (2022)
Marco Zaffalon, Enrique Miranda
Desirability foundations of robust rational decision making. Synth. 198 (27) (2021)
Jürg Kohlas, Arianna Casanova, Marco Zaffalon
Information Algebras of Coherent Sets of Gambles in General Possibility Spaces. ISIPTA (2021)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Quantum Indistinguishability through Exchangeable Desirable Gambles. ISIPTA (2021)
Marco Zaffalon, Enrique Miranda
The Sure Thing. ISIPTA (2021)
Jürg Kohlas, Arianna Casanova, Marco Zaffalon
Algebras of Sets and Coherent Sets of Gambles. CoRR (2021)
Giorgio Corani, Alessio Benavoli, Marco Zaffalon
Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) (2021)
Jürg Kohlas, Arianna Casanova, Marco Zaffalon
Information algebras of coherent sets of gambles in general possibility spaces. CoRR (2021)
Arianna Casanova, Enrique Miranda, Marco Zaffalon
Joint desirability foundations of social choice and opinion pooling. Ann. Math. Artif. Intell. 89 (10-11) (2021)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR (2021)
Arianna Casanova, Jürg Kohlas, Marco Zaffalon
Algebras of Sets and Coherent Sets of Gambles. ECSQARU (2021)
Jürg Kohlas, Arianna Casanova, Marco Zaffalon
Information algebras of coherent sets of gambles. CoRR (2021)
Arianna Casanova, Alessio Benavoli, Marco Zaffalon
Nonlinear Desirability as a Linear Classification Problem. ISIPTA (2021)
Arianna Casanova, Enrique Miranda, Marco Zaffalon
Social Pooling of Beliefs and Values with Desirability. FLAIRS Conference (2020)
Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM (2020)
Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
Orthogonally Decoupled Variational Fourier Features. CoRR (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. CoRR (2020)
Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) (2020)
Enrique Miranda, Marco Zaffalon
Compatibility, desirability, and the running intersection property. Artif. Intell. 283 (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. PGM (2020)
Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon
Automatic Forecasting using Gaussian Processes. CoRR (2020)
Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon
CREDICI: A Java Library for Causal Inference by Credal Networks. PGM (2020)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive estimation for sparse Gaussian process regression. Autom. 120 (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR (2020)
David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon
CREMA: A Java Library for Credal Network Inference. PGM (2020)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Computational Complexity and the Nature of Quantum Mechanics (Extended version). CoRR (2019)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive Estimation for Sparse Gaussian Process Regression. CoRR (2019)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Computational Complexity and the Nature of Quantum Mechanics. CoRR (2019)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. ISIPTA (2019)
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. 137 (2019)
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105 (2019)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. 95 (2018)
Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon
Approximate structure learning for large Bayesian networks. Mach. Learn. 107 (8-10) (2018)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR (2018)
Enrique Miranda, Marco Zaffalon
Compatibility, Coherence and the RIP. SMPS (2018)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260 (2018)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106 (11) (2017)
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
SOS for Bounded Rationality. ISIPTA (2017)
Marco Zaffalon, Enrique Miranda
Axiomatising Incomplete Preferences through Sets of Desirable Gambles. J. Artif. Intell. Res. 60 (2017)
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM (2017)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. 18 (2017)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, José Vicente-Pérez
A Polarity Theory for Sets of Desirable Gambles. ISIPTA (2017)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Improved Local Search in Bayesian Networks Structure Learning. AMBN (2017)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR (2017)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR (2016)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS (2016)
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Quantum Rational Preferences and Desirability. IDM@NIPS (2016)
Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68 (2016)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR (2016)
Enrique Miranda, Marco Zaffalon
Conformity and independence with coherent lower previsions. Int. J. Approx. Reason. 78 (2016)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR (2016)
Enrique Miranda, Marco Zaffalon
Full Conglomerability, Continuity and Marginal Extension. SMPS (2016)
Alessio Benavoli, Marco Zaffalon
State Space representation of non-stationary Gaussian Processes. CoRR (2016)
Paola M. V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni, Cassio P. de Campos
Bayesian network data imputation with application to survival tree analysis. Comput. Stat. Data Anal. 93 (2016)
Enrique Miranda, Marco Zaffalon
On the problem of computing the conglomerable natural extension. Int. J. Approx. Reason. 56 (2015)
Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
Learning Bayesian Networks with Thousands of Variables. NIPS (2015)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximate credal network updating by linear programming with applications to decision making. Int. J. Approx. Reason. 58 (2015)
Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) (2015)
Marco Zaffalon, Enrique Miranda
Desirability and the birth of incomplete preferences. CoRR (2015)
Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon
A Bayesian nonparametric procedure for comparing algorithms. ICML (2015)
Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models (2014)
Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML (2014)
Marco Zaffalon, Giorgio Corani
Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés R. Masegosa and Serafín Moral. Int. J. Approx. Reason. 55 (7) (2014)
Marco Zaffalon, Enrique Miranda
Conservative Inference Rule for Uncertain Reasoning under Incompleteness. CoRR (2014)
Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models (2014)
Marco Zaffalon, Marcus Hutter
Robust Feature Selection by Mutual Information Distributions. CoRR (2014)
Gert de Cooman, Marco Zaffalon
Updating with incomplete observations. CoRR (2014)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximating Credal Network Inferences by Linear Programming. ECSQARU (2013)
Enrique Miranda, Marco Zaffalon
Conglomerable coherence. Int. J. Approx. Reason. 54 (9) (2013)
Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbuhl, Ian Chapman, Richard Ladouceur
CREDO: A military decision-support system based on credal networks. FUSION (2013)
Marco Zaffalon, Enrique Miranda
Probability and time. Artif. Intell. 198 (2013)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artif. Intell. 205 (2013)
Enrique Miranda, Marco Zaffalon
Conglomerable Coherent Lower Previsions. SMPS (2012)
Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. 53 (8) (2012)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. 44 (2012)
Enrique Miranda, Marco Zaffalon, Gert de Cooman
Conglomerable natural extension. Int. J. Approx. Reason. 53 (8) (2012)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
The Complexity of Approximately Solving Influence Diagrams CoRR (2012)
Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. 53 (8) (2012)
Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
The Complexity of Approximately Solving Influence Diagrams. UAI (2012)
Alessio Benavoli, Marco Zaffalon, Enrique Miranda
Robust Filtering Through Coherent Lower Previsions. IEEE Trans. Autom. Control. 56 (7) (2011)
Gert de Cooman, Enrique Miranda, Marco Zaffalon
Independent natural extension. Artif. Intell. 175 (12-13) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Zaffalon