| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella |
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers.  |
PGM  |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp 0001, Martin Andraud |
A Hardware Perspective to Evaluating Probabilistic Circuits. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Verónica Rodríguez-López, Luis Enrique Sucar |
Knowledge transfer for learning subject-specific causal models. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Swaraj Pawar, Prashant Doshi |
Anytime Learning of Sum-Product and Sum-Product-Max Networks. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Athresh Karanam, Saurabh Mathur 0002, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan |
Explaining Deep Tractable Probabilistic Models: The sum-product network case. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Marco Zaffalon, Alessandro Antonucci 0001, Rafael Cabañas 0001, David Huber 0001, Dario Azzimonti |
Bounding Counterfactuals under Selection Bias. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Thijs van Ommen, Mathias Drton |
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Enrico Giudice, Jack Kuipers, Giusi Moffa |
The Dual PC Algorithm for Structure Learning. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller |
Online Updating of Conditional Linear Gaussian Bayesian Networks. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rafael Ballester-Ripoll, Manuele Leonelli |
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Manuele Leonelli, Gherardo Varando |
Highly Efficient Structural Learning of Sparse Staged Trees. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bart van Erp, Bert de Vries |
Online Single-Microphone Source Separation using Non-Linear Autoregressive Models. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tianle Yang, Joe Suzuki |
The Functional LiNGAM. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhennan Wu, Roni Khardon |
Approximate Inference for Stochastic Planning in Factored Spaces. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shouta Sugahara, Wakaba Kishida, Koya Kato, Maomi Ueno |
Recursive autonomy identification-based learning of augmented naive Bayes classifiers. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Peter Strong, Jim Q. Smith |
Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Arquímides Méndez-Molina, Eduardo F. Morales 0001, Luis Enrique Sucar |
Causal Discovery and Reinforcement Learning: A Synergistic Integration. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Iván Pérez 0006, Jirí Vomlel |
On the rank of 2×2×2 probability tables. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus |
A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Johan Kwisthout |
Speeding up approximate MAP by applying domain knowledge about relevant variables. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Marco Scutari, Christopher Marquis, Laura Azzimonti |
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mariana Vargas Vieyra |
Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Anders L. Madsen, S. Jannicke Moe, Thomas Braunbeck, Kristin A. Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf, Adam A. Lillicrap |
A Decision Support System to Predict Acute Fish Toxicity. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Marcel Gehrke, Ralf Möller 0001, Tanya Braun |
Who did it? Identifying the Most Likely Origins of Events. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Pierre Gillot, Pekka Parviainen |
Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Barry R. Cobb |
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Antonio Salmerón, Rafael Rumí (eds.) |
International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Silja Renooij |
Relevance for Robust Bayesian Network MAP-Explanations. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen |
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jorge Casajús-Setién, Concha Bielza, Pedro Larrañaga |
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Charupriya Sharma, Peter van Beek |
Scalable Bayesian Network Structure Learning with Splines. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Christophe Gonzales, Axel Journe, Ahmed Mabrouk |
A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts' Knowledge. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alberto Roverato, Dung Ngoc Nguyen |
Model inclusion lattice of coloured Gaussian graphical models for paired data. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Juan C. Alfaro, Juan A. Aledo, José A. Gámez 0001 |
Integrating Bayesian network classifiers to deal with the partial label ranking problem. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout |
Parameterized Completeness Results for Bayesian Inference. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Enrique Valero-Leal, Pedro Larrañaga, Concha Bielza |
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Frantisek Kratochvíl, Václav Kratochvíl, Jirí Vomlel |
Learning Noisy-Or Networks with an Application in Linguistics. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kiattikun Chobtham, Anthony C. Constantinou |
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. |
PGM |
2022 |
DBLP BibTeX RDF |
|
| 1 | Karine Chubarian, György Turán |
Approximating bounded tree-width Bayesian network classifiers with OBDD. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue |
Hawkesian Graphical Event Models. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan |
Discriminative Non-Parametric Learning of Arithmetic Circuits. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Verónica Rodríguez-López, Luis Enrique Sucar |
Knowledge Transfer for Learning Markov Equivalence Classes. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Fabrizio Ventola, Karl Stelzner, Alejandro Molina 0001, Kristian Kersting |
Residual Sum-Product Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Linda C. van der Gaag, Silja Renooij, Alessandro Facchini |
Building Causal Interaction Models by Recursive Unfolding. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Rafael Cabañas 0001, Alessandro Antonucci 0001, David Huber 0001, Marco Zaffalon |
CREDICI: A Java Library for Causal Inference by Credal Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz |
Sum-Product Network Decompilation. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Gaspard Ducamp, Philippe Bonnard, Anthony Nouy, Pierre-Henri Wuillemin |
An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Serrano-Pérez, Luis Enrique Sucar |
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Evan Dufraisse, Philippe Leray 0001, Raphaël Nedellec, Tarek Benkhelif |
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Kari Rantanen, Antti Hyttinen, Matti Järvisalo |
Learning Optimal Cyclic Causal Graphs from Interventional Data. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Veronica Tozzo, Davide Garbarino, Annalisa Barla |
Missing Values in Multiple Joint Inference of Gaussian Graphical Models. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Rafael Cabañas 0001, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa |
Probabilistic Graphical Models with Neural Networks in InferPy. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Laura Azzimonti, Giorgio Corani, Marco Scutari |
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | David Huber 0001, Rafael Cabañas 0001, Alessandro Antonucci 0001, Marco Zaffalon |
CREMA: A Java Library for Credal Network Inference. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Wolfgang Roth, Franz Pernkopf |
Differentiable TAN Structure Learning for Bayesian Network Classifiers. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Radim Jirousek |
On a possibility of gradual model-learning. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Pierre Clavier, Olivier Bouaziz, Grégory Nuel |
Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Konrad P. Mielke, Tom Claassen, Mark A. J. Huijbregts, Aafke M. Schipper, Tom M. Heskes |
Discovering cause-effect relationships in spatial systems with a known direction based on observational data. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber |
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alex Markham, Aditya Chivukula, Moritz Grosse-Wentrup |
MeDIL: A Python Package for Causal Modelling. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou |
Tuning Causal Discovery Algorithms. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alessandro Bregoli, Marco Scutari, Fabio Stella |
Constraing-Based Learning for Continous-Time Bayesian Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Thomas D. Nielsen, Manfred Jaeger |
Preface. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jos van de Wolfshaar, Andrzej Pronobis |
Deep Generalized Convolutional Sum-Product Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Milan Studený, James Cussens, Václav Kratochvíl |
Dual Formulation of the Chordal Graph Conjecture. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Fan Ding, Yexiang Xue |
Contrastive Divergence Learning with Chained Belief Propagation. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Manfred Jaeger, Thomas Dyhre Nielsen (eds.) |
International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Luis E. Ortiz, Boshen Wang, Ze Gong |
Correlated Equilibria for Approximate Variational Inference in MRFs. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Topi Talvitie, Pekka Parviainen |
Learning Bayesian Networks with Cops and Robbers. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Tjebbe Bodewes, Marco Scutari |
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen |
Prediction of High Risk of Deviations in Home Care Deliveries. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Pierre Gillot, Pekka Parviainen |
Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Mattis Hartwig, Ralf Möller 0001 |
Lifted Query Answering in Gaussian Bayesian Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Shouta Sugahara, Itsuki Aomi, Maomi Ueno |
Bayesian Network Model Averaging Classifiers by Subbagging. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Kiattikun Chobtham, Anthony C. Constantinou |
Bayesian network structure learning with causal effects in the presence of latent variables. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yizuo Chen, Arthur Choi, Adnan Darwiche |
Supervised Learning with Background Knowledge. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Cong Chen, Jiaqi Yang 0007, Chao Chen 0012, Changhe Yuan |
Solving Multiple Inference by Minimizing Expected Loss. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yujia Shen, Arthur Choi, Adnan Darwiche |
A New Perspective on Learning Context-Specific Independence. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci 0001 |
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen |
A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | George Orfanides, Aritz Pérez |
Learning decomposable models by coarsening. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Cen Wan, Alex Alves Freitas |
Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Cassio P. de Campos |
Almost No News on the Complexity of MAP in Bayesian Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Teny Handhayani, James Cussens |
Kernel-based Approach for Learning Causal Graphs from Mixed Data. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Linda C. van der Gaag, Janneke H. Bolt |
Poset Representations for Sets of Elementary Triplets. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xiaoting Shao, Alejandro Molina 0001, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting |
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Marco Zaffalon, Alessandro Antonucci 0001, Rafael Cabañas 0001 |
Structural Causal Models Are (Solvable by) Credal Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nikolas Bernaola, Mario Michiels, Concha Bielza, Pedro Larrañaga |
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Gaspard Ducamp, Christophe Gonzales, Pierre-Henri Wuillemin |
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer 0001 |
Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Aditi Shenvi, Jim Q. Smith |
Constructing a Chain Event Graph from a Staged Tree. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | James Cussens |
GOBNILP: Learning Bayesian network structure with integer programming. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Ondrej Kuzelka, Vyacheslav Kungurtsev, Yuyi Wang 0001 |
Lifted Weight Learning of Markov Logic Networks (Revisited One More Time). |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Meihua Dang, Antonio Vergari, Guy Van den Broeck |
Strudel: Learning Structured-Decomposable Probabilistic Circuits. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nils Finke, Marcel Gehrke, Tanya Braun, Tristan Potten, Ralf Möller 0001 |
Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Cong Chen, Changhe Yuan, Chao Chen |
Efficient Heuristic Search for M-Modes Inference. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek |
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | David Kinney, David S. Watson |
Causal Feature Learning for Utility-Maximizing Agents. |
PGM |
2020 |
DBLP BibTeX RDF |
|
| 1 | Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas |
Making Continuous Time Bayesian Networks More Flexible. |
PGM |
2018 |
DBLP BibTeX RDF |
|
| 1 | Jose M. Peña 0001 |
Unifying DAGs and UGs. |
PGM |
2018 |
DBLP BibTeX RDF |
|
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