2024
Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score.
Appl. Intell., March, 2024
Beyond tree-shaped credal probabilistic circuits.
Int. J. Approx. Reason., 2024
Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications.
Int. J. Approx. Reason., 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
CoRR, 2024
Nerva: a Truly Sparse Implementation of Neural Networks.
CoRR, 2024
Soft Learning Probabilistic Circuits.
CoRR, 2024
Probabilistic Circuits with Constraints via Convex Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Dempster-Shafer Credal Probabilistic Circuits.
Proceedings of the Belief Functions: Theory and Applications, 2024
Probabilistic Integral Circuits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Probabilistic Multi-Dimensional Classification.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Portfolio Optimization via Credal Probabilistic Circuits.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
Continuous Mixtures of Tractable Probabilistic Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
High-Value Token-Blocking: Efficient Blocking Method for Record Linkage.
ACM Trans. Knowl. Discov. Data, 2022
2021
Special Issue on Robustness in Probabilistic Graphical Models.
Int. J. Approx. Reason., 2021
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables.
CoRR, 2021
Bayesian Independence Test with Mixed-type Variables.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
A structured view on weighted counting with relations to counting, quantum computation and applications.
Inf. Comput., 2020
Towards Robust Classification with Deep Generative Forests.
CoRR, 2020
Almost No News on the Complexity of MAP in Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Joints in Random Forests.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
On Pruning for Score-Based Bayesian Network Structure Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A hierarchy of sum-product networks using robustness.
Int. J. Approx. Reason., 2019
An unsupervised blocking technique for more efficient record linkage.
Data Knowl. Eng., 2019
Towards Scalable and Robust Sum-Product Networks.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
Robustness in Sum-Product Networks with Continuous and Categorical Data.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
An Experimental Study of Prior Dependence in Bayesian Network Structure Learning.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
2018
Approximate structure learning for large Bayesian networks.
Mach. Learn., 2018
A new technique of selecting an optimal blocking method for better record linkage.
Inf. Syst., 2018
Robustifying sum-product networks.
Int. J. Approx. Reason., 2018
Entropy-based pruning for learning Bayesian networks using BIC.
Artif. Intell., 2018
Cascading Sum-Product Networks using Robustness.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
2017
Joint Analysis of Multiple Algorithms and Performance Measures.
New Gener. Comput., 2017
Efficient learning of Bayesian networks with bounded tree-width.
Int. J. Approx. Reason., 2017
Introduction to the special issue on statistical and computational methods for genomics and integrative genomics.
Int. J. Approx. Reason., 2017
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.
CoRR, 2017
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Credal Sum-Product Networks.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Learning Bayesian Networks with Incomplete Data by Augmentation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Hidden Markov models with set-valued parameters.
Neurocomputing, 2016
Learning extended tree augmented naive structures.
Int. J. Approx. Reason., 2016
Ordering Quantiles through Confidence Statements.
Entropy, 2016
Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables.
Entropy, 2016
Bayesian network data imputation with application to survival tree analysis.
Comput. Stat. Data Anal., 2016
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables.
CoRR, 2016
Learning Bayesian Networks without Assuming Missing at Random.
CoRR, 2016
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Learning Bayesian Networks with Bounded Tree-width via Guided Search.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Approximate credal network updating by linear programming with applications to decision making.
Int. J. Approx. Reason., 2015
Averaged Extended Tree Augmented Naive Classifier.
Entropy, 2015
Imprecision in Machine Learning and AI.
IEEE Intell. Informatics Bull., 2015
Learning Bayesian Networks with Thousands of Variables.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Statistical Tests for Joint Analysis of Performance Measures.
Proceedings of the Advanced Methodologies for Bayesian Networks, 2015
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Learning Bounded Tree-Width Bayesian Networks via Sampling.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
2014
Probabilistic Inference in Credal Networks: New Complexity Results.
J. Artif. Intell. Res., 2014
Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms.
Int. J. Approx. Reason., 2014
Transform both sides model: A parametric approach.
Comput. Stat. Data Anal., 2014
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Extended Tree Augmented Naive Classifier.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Advances in Learning Bayesian Networks of Bounded Treewidth.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
The Computational Complexity of Stochastic Optimization.
Proceedings of the Combinatorial Optimization - Third International Symposium, 2014
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
A Structured View on Weighted Counting with Relations to Quantum Computation and Applications.
Electron. Colloquium Comput. Complex., 2013
On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables.
Artif. Intell., 2013
On the Complexity of Strong and Epistemic Credal Networks.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Approximating Credal Network Inferences by Linear Programming.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Solving Limited Memory Influence Diagrams.
J. Artif. Intell. Res., 2012
Updating credal networks is approximable in polynomial time.
Int. J. Approx. Reason., 2012
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments
CoRR, 2012
The Complexity of Approximately Solving Influence Diagrams.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Anytime Marginal MAP Inference.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Integração de evidências em redes credais e a regra de Jeffrey.
RITA, 2011
Efficient Structure Learning of Bayesian Networks using Constraints.
J. Mach. Learn. Res., 2011
Improving parameter learning of Bayesian nets from incomplete data
CoRR, 2011
Solving Decision Problems with Limited Information.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Inference with Multinomial Data: Why to Weaken the Prior Strength.
Proceedings of the IJCAI 2011, 2011
New Complexity Results for MAP in Bayesian Networks.
Proceedings of the IJCAI 2011, 2011
Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
2010
A tree augmented classifier based on Extreme Imprecise Dirichlet Model.
Int. J. Approx. Reason., 2010
Generalized loopy 2U: A new algorithm for approximate inference in credal networks.
Int. J. Approx. Reason., 2010
New Results for the MAP Problem in Bayesian Networks
CoRR, 2010
An Improved Structural EM to Learn Dynamic Bayesian Nets.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence.
J. Appl. Log., 2009
Structure learning of Bayesian networks using constraints.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Inference from Multinomial Data Based on a MLE-Dominance Criterion.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
2008
Probabilistic logic with independence.
Int. J. Approx. Reason., 2008
Strategy Selection in Influence Diagrams using Imprecise Probabilities.
Proceedings of the UAI 2008, 2008
Improving Bayesian Network parameter learning using constraints.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition.
Proceedings of the Computer Vision, 2008
2007
Computing lower and upper expectations under epistemic independence.
Int. J. Approx. Reason., 2007
2006
Probabilistic Logic with Strong Independence.
Proceedings of the Advances in Artificial Intelligence, 2006
2005
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks.
Proceedings of the UAI '05, 2005
The Inferential Complexity of Bayesian and Credal Networks.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
2004
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat.
Proceedings of the UAI '04, 2004
2003
Inference in Polytrees with Sets of Probabilities.
Proceedings of the UAI '03, 2003