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2020 – today
- 2024
[j61]Marco Zaffalon, Alessandro Antonucci
, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171: 109111 (2024)- [c59]Vani Kanjirangat, Alessandro Antonucci, Marco Zaffalon:
On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. Text2Story@ECIR 2024: 151-160 - [i38]Marco Zaffalon, Alessandro Antonucci:
A Note on Bayesian Networks with Latent Root Variables. CoRR abs/2402.17087 (2024) - 2023
- [j60]Arianna Casanova, Alessio Benavoli, Marco Zaffalon:
Nonlinear desirability as a linear classification problem. Int. J. Approx. Reason. 152: 1-32 (2023) - [j59]Enrique Miranda, Marco Zaffalon:
Nonlinear desirability theory. Int. J. Approx. Reason. 154: 176-199 (2023) - [j58]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber:
Approximating counterfactual bounds while fusing observational, biased and randomised data sources. Int. J. Approx. Reason. 162: 109023 (2023) - [j57]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112(5): 1411-1432 (2023) - [c58]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Closure operators, classifiers and desirability. ISIPTA 2023: 25-36 - [i37]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient Computation of Counterfactual Bounds. CoRR abs/2307.08304 (2023) - [i36]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber:
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources. CoRR abs/2307.16577 (2023) - [i35]David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon:
Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR abs/2310.03352 (2023) - [i34]Alessandro Antonucci, Gregorio Piqué, Marco Zaffalon:
Zero-shot Causal Graph Extrapolation from Text via LLMs. CoRR abs/2312.14670 (2023) - 2022
- [j56]Arianna Casanova, Juerg Kohlas, Marco Zaffalon:
Information algebras in the theory of imprecise probabilities. Int. J. Approx. Reason. 142: 383-416 (2022) - [j55]Arianna Casanova, Juerg Kohlas, Marco Zaffalon:
Information algebras in the theory of imprecise probabilities, an extension. Int. J. Approx. Reason. 150: 311-336 (2022) - [j54]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum indistinguishability through exchangeability. Int. J. Approx. Reason. 151: 389-412 (2022) - [c57]Arianna Casanova, Enrique Miranda, Marco Zaffalon:
Joint Desirability Foundations of Social Choice and Opinion Pooling. ISAIM 2022 - [c56]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. PGM 2022: 289-300 - [i33]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. CoRR abs/2208.01417 (2022) - [i32]Enrique Miranda, Marco Zaffalon:
Nonlinear desirability theory. CoRR abs/2209.00686 (2022) - [i31]Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas:
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR abs/2212.02932 (2022) - 2021
- [j53]Arianna Casanova, Enrique Miranda, Marco Zaffalon:
Joint desirability foundations of social choice and opinion pooling. Ann. Math. Artif. Intell. 89(10-11): 965-1011 (2021) - [j52]Marco Zaffalon, Enrique Miranda:
Desirability foundations of robust rational decision making. Synth. 198(27): 6529-6570 (2021) - [c55]Arianna Casanova, Jürg Kohlas, Marco Zaffalon:
Algebras of Sets and Coherent Sets of Gambles. ECSQARU 2021: 603-615 - [c54]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum Indistinguishability through Exchangeable Desirable Gambles. ISIPTA 2021: 22-31 - [c53]Arianna Casanova, Alessio Benavoli, Marco Zaffalon:
Nonlinear Desirability as a Linear Classification Problem. ISIPTA 2021: 61-71 - [c52]Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Information Algebras of Coherent Sets of Gambles in General Possibility Spaces. ISIPTA 2021: 191-200 - [c51]Marco Zaffalon, Enrique Miranda:
The Sure Thing. ISIPTA 2021: 342-351 - [c50]Giorgio Corani, Alessio Benavoli, Marco Zaffalon:
Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) 2021: 103-117 - [i30]Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Information algebras of coherent sets of gambles. CoRR abs/2102.13368 (2021) - [i29]Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Information algebras of coherent sets of gambles in general possibility spaces. CoRR abs/2105.12037 (2021) - [i28]Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Algebras of Sets and Coherent Sets of Gambles. CoRR abs/2105.12986 (2021) - [i27]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR abs/2112.09519 (2021) - 2020
- [j51]Enrique Miranda, Marco Zaffalon:
Compatibility, desirability, and the running intersection property. Artif. Intell. 283: 103274 (2020) - [j50]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive estimation for sparse Gaussian process regression. Autom. 120: 109127 (2020) - [c49]Arianna Casanova, Enrique Miranda, Marco Zaffalon:
Social Pooling of Beliefs and Values with Desirability. FLAIRS 2020: 569-574 - [c48]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
Structural Causal Models Are (Solvable by) Credal Networks. PGM 2020: 581-592 - [c47]Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon:
CREDICI: A Java Library for Causal Inference by Credal Networks. PGM 2020: 597-600 - [c46]David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon:
CREMA: A Java Library for Credal Network Inference. PGM 2020: 613-616 - [c45]Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon:
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) 2020: 211-226 - [c44]Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM 2020: 708-716 - [i26]Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon:
Orthogonally Decoupled Variational Fourier Features. CoRR abs/2007.06363 (2020) - [i25]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
Structural Causal Models Are (Solvable by) Credal Networks. CoRR abs/2008.00463 (2020) - [i24]Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon:
Automatic Forecasting using Gaussian Processes. CoRR abs/2009.08102 (2020) - [i23]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR abs/2011.02912 (2020)
2010 – 2019
- 2019
- [j49]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. 137: 67-91 (2019) - [j48]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105: 130-152 (2019) - [c43]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. ISIPTA 2019: 23-31 - [i22]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics (Extended version). CoRR abs/1902.03513 (2019) - [i21]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics. CoRR abs/1902.04569 (2019) - [i20]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive Estimation for Sparse Gaussian Process Regression. CoRR abs/1905.11711 (2019) - 2018
- [j47]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260: 42-50 (2018) - [j46]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: 152-166 (2018) - [j45]Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon:
Approximate structure learning for large Bayesian networks. Mach. Learn. 107(8-10): 1209-1227 (2018) - [c42]Enrique Miranda, Marco Zaffalon:
Compatibility, Coherence and the RIP. SMPS 2018: 166-174 - [i19]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR abs/1802.02468 (2018) - 2017
- [j44]Marco Zaffalon, Enrique Miranda:
Axiomatising Incomplete Preferences through Sets of Desirable Gambles. J. Artif. Intell. Res. 60: 1057-1126 (2017) - [j43]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: 77:1-77:36 (2017) - [j42]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106(11): 1817-1837 (2017) - [c41]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Improved Local Search in Bayesian Networks Structure Learning. AMBN 2017: 45-56 - [c40]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM 2017: 739-744 - [c39]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
SOS for Bounded Rationality. ISIPTA 2017: 25-36 - [c38]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, José Vicente-Pérez:
A Polarity Theory for Sets of Desirable Gambles. ISIPTA 2017: 37-48 - [i18]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR abs/1707.06194 (2017) - 2016
- [j41]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: 373-387 (2016) - [j40]Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon:
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68: 153-163 (2016) - [j39]Enrique Miranda, Marco Zaffalon:
Conformity and independence with coherent lower previsions. Int. J. Approx. Reason. 78: 125-137 (2016) - [c37]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum Rational Preferences and Desirability. IDM@NIPS 2016: 87-96 - [c36]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS 2016: 1462-1470 - [c35]Enrique Miranda, Marco Zaffalon:
Full Conglomerability, Continuity and Marginal Extension. SMPS 2016: 355-362 - [i17]Alessio Benavoli, Marco Zaffalon:
State Space representation of non-stationary Gaussian Processes. CoRR abs/1601.01544 (2016) - [i16]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR abs/1605.03392 (2016) - [i15]Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon:
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR abs/1606.04316 (2016) - [i14]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR abs/1609.08905 (2016) - 2015
- [j38]Enrique Miranda, Marco Zaffalon:
On the problem of computing the conglomerable natural extension. Int. J. Approx. Reason. 56: 1-27 (2015) - [j37]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: 25-38 (2015) - [c34]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon:
A Bayesian nonparametric procedure for comparing algorithms. ICML 2015: 1264-1272 - [c33]Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon:
Learning Bayesian Networks with Thousands of Variables. NIPS 2015: 1864-1872 - [c32]Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon:
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) 2015: 199-202 - [i13]Marco Zaffalon, Enrique Miranda:
Desirability and the birth of incomplete preferences. CoRR abs/1506.00529 (2015) - 2014
- [j36]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): 1597-1600 (2014) - [c31]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri:
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML 2014: 1026-1034 - [c30]Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon:
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models 2014: 176-189 - [c29]Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon:
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models 2014: 426-441 - [i12]Marco Zaffalon, Enrique Miranda:
Conservative Inference Rule for Uncertain Reasoning under Incompleteness. CoRR abs/1401.3471 (2014) - [i11]Marco Zaffalon, Marcus Hutter:
Robust Feature Selection by Mutual Information Distributions. CoRR abs/1408.1487 (2014) - [i10]Gert de Cooman, Marco Zaffalon:
Updating with incomplete observations. CoRR abs/1408.1488 (2014) - 2013
- [j35]Marco Zaffalon, Enrique Miranda:
Probability and time. Artif. Intell. 198: 1-51 (2013) - [j34]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: 30-38 (2013) - [j33]Enrique Miranda, Marco Zaffalon:
Conglomerable coherence. Int. J. Approx. Reason. 54(9): 1322-1350 (2013) - [c28]Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon:
Approximating Credal Network Inferences by Linear Programming. ECSQARU 2013: 13-24 - [c27]Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbuhl, Ian Chapman, Richard Ladouceur:
CREDO: A military decision-support system based on credal networks. FUSION 2013: 1942-1949 - 2012
- [j32]Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon:
Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. 53(8): 1183-1199 (2012) - [j31]Enrique Miranda, Marco Zaffalon, Gert de Cooman:
Conglomerable natural extension. Int. J. Approx. Reason. 53(8): 1200-1227 (2012) - [j30]Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá:
Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. 53(8): 1282-1301 (2012) - [j29]Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon:
Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. 44: 97-140 (2012) - [c26]Enrique Miranda, Marco Zaffalon:
Conglomerable Coherent Lower Previsions. SMPS 2012: 419-427 - [c25]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
The Complexity of Approximately Solving Influence Diagrams. UAI 2012: 604-613 - [i9]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
The Complexity of Approximately Solving Influence Diagrams. CoRR abs/1210.4890 (2012) - 2011
- [j28]Gert de Cooman, Enrique Miranda, Marco Zaffalon:
Independent natural extension. Artif. Intell. 175(12-13): 1911-1950 (2011) - [j27]Alessio Benavoli, Marco Zaffalon, Enrique Miranda:
Robust Filtering Through Coherent Lower Previsions. IEEE Trans. Autom. Control. 56(7): 1567-1581 (2011) - [i8]Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
Solving Limited Memory Influence Diagrams. CoRR abs/1109.1754 (2011) - 2010
- [j26]Enrique Miranda, Marco Zaffalon:
Notes on desirability and conditional lower previsions. Ann. Math. Artif. Intell. 60(3-4): 251-309 (2010) - [j25]Alessandro Antonucci, Yi Sun, Cassio P. de Campos, Marco Zaffalon:
Generalized loopy 2U: A new algorithm for approximate inference in credal networks. Int. J. Approx. Reason. 51(5): 474-484 (2010) - [j24]Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon:
Epistemic irrelevance in credal nets: The case of imprecise Markov trees. Int. J. Approx. Reason. 51(9): 1029-1052 (2010) - [j23]Renato Pelessoni, Paolo Vicig, Marco Zaffalon:
Inference and risk measurement with the pari-mutuel model. Int. J. Approx. Reason. 51(9): 1145-1158 (2010) - [c24]Gert de Cooman, Enrique Miranda, Marco Zaffalon:
Independent Natural Extension. IPMU 2010: 737-746 - [c23]Gert de Cooman, Enrique Miranda, Marco Zaffalon:
Factorisation Properties of the Strong Product. SMPS 2010: 139-147 - [i7]Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon:
Epistemic irrelevance in credal nets: the case of imprecise Markov trees. CoRR abs/1008.2514 (2010)
2000 – 2009
- 2009
- [j22]Enrique Miranda, Marco Zaffalon:
Coherence graphs. Artif. Intell. 173(1): 104-144 (2009) - [j21]Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter:
Limits of learning about a categorical latent variable under prior near-ignorance. Int. J. Approx. Reason. 50(4): 597-611 (2009) - [j20]Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, Marco Zaffalon:
Credal networks for military identification problems. Int. J. Approx. Reason. 50(4): 666-679 (2009) - [j19]Marco Zaffalon, Enrique Miranda:
Conservative Inference Rule for Uncertain Reasoning under Incompleteness. J. Artif. Intell. Res. 34: 757-821 (2009) - [c22]Alessio Benavoli, Marco Zaffalon, Enrique Miranda:
Reliable hidden Markov model filtering through coherent lower previsions. FUSION 2009: 1743-1750 - [c21]Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans:
Multiple model tracking by imprecise markov trees. FUSION 2009: 1767-1774 - [c20]Giorgio Corani, Andrea Emilio Rizzoli, A. Salvetti, Marco Zaffalon:
Reproducing human decisions in reservoir management: the case of lake Lugano. ITEE 2009: 252-263 - [c19]Giorgio Corani, Marco Zaffalon:
Lazy naive credal classifier. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 30-37 - [i6]Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter:
Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance. CoRR abs/0904.4527 (2009) - 2008
- [j18]Giorgio Corani, Marco Zaffalon:
JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets. Environ. Model. Softw. 23(7): 960-961 (2008) - [j17]Alessandro Antonucci, Marco Zaffalon:
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks. Int. J. Approx. Reason. 49(2): 345-361 (2008) - [j16]