Detailed program
Wednesday 5th of October
9.30 – 10.20 Plenary Talk. Prakash P. Shenoy: “Incomplete Bayesian Networks: A Dempster-Shafer Belief Function Approach”
Session chair: Serafín Moral
10.20 – 10.40 COFFEE BREAK
10.40 – 12.00 SESSION 1: Causality
Session chair: Silja Renooij
- Arquímides Méndez-Molina, Eduardo F Morales and Luis Enrique Sucar. Causal Discovery and Reinforcement Learning: A Synergistic Integration.
- Verónica Rodríguez-López and Luis Enrique Sucar. Knowledge transfer for learning subject-specific causal models.
- Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber and Dario Azzimonti. Bounding counterfactuals under selection bias.
- Christophe Gonzales, Axel Journe and Ahmed Mabrouk. A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts’ Knowledge.
12.10 – 13.10 SESSION 2: Classification
Session chair: Andrés Cano
- Shouta Sugahara, Wakaba Kishida, Koya Kato and Maomi Ueno. Recursive autonomy identification-based learning of augmented naive Bayes classifiers.
- Carlos Villa Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga and Fabio Stella. Structure learning algorithms for multidimensional continuous time Bayesian network classifiers.
- Juan C. Alfaro, Juan A. Aledo and José A. Gámez. Integrating Bayesian network classifiers to deal with the partial label ranking problem.
13.10 – 14.20 LUNCH
14.20 – 15.40 SESSION 3: Learning I
Session chair: Helge Langseth
- Tianle Yang and Joe Suzuki. The Functional LiNGAM.
- Swaraj Pawar and Prashant Doshi. Anytime Learning of Sum-Product and Sum-Product-Max Networks.
- Peter Strong and Jim Q. Smith. Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling.
- Marco Scutari, Christopher Marquis and Laura Azzimonti. Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets.
15.40 – 16.00 COFFEE BREAK
16.00 – 17.00 SESSION 4: Foundations I
Session chair: Jiří Vomlel
- Alex Markham, Danai Deligeorgaki, Pratik Misra and Liam Solus. A Transformational Characterization of Unconditionally Equivalent Bayesian Networks.
- Alberto Roverato and Dung Ngoc Nguyen. Model inclusion lattice of colored Gaussian graphical models for paired data.
- Thijs van Ommen and Mathias Drton. Graphical Representations for Algebraic Constraints of Linear Structural Equations Models.
Thursday, 6th of October
9.30 – 10.20 Plenary Talk: Laura Uusitalo: “Bayesian Network modelling of complex systems with sparse data: Ecological case studies”
Session chair: Julia Flores
10.20 – 10.40 COFFEE BREAK
10.40 – 12.00 SESSION 5: Modeling and prediction
Session chair: Barry Cobb
- Jorge Casajús-Setién, Pedro Larrañaga and Concha Bielza. Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection.
- Anders L Madsen, Kristian G Olesen, Frank Jensen, Per Henriksen, Thomas M Larsen and Jørn M Møller. Online Updating of Conditional Gaussian Models.
- Anders L Madsen, Jannicke Moe, Thomas Braunbeck, Kristin A Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf and Adam Lillicrap. A Hazard Assessment System to Predict Fish Acute Toxicity.
- Bart van Erp and Bert de Vries. Online Single-Microphone Source Separation using Non-Linear Autoregressive Models.
12.10 – 13.10 SESSION 6: Inference
Session chair: José A. Gámez
- Silja Renooij. Relevance for Robust Bayesian Network MAP-Explanations.
- Johan Kwisthout. Speeding up approximate MAP by applying domain knowledge about relevant variables.
- Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp and Martin Andraud. A Hardware Perspective to Evaluating Probabilistic Circuits.
13.10 – 14.20 LUNCH
14.20 – 15.40 SESSION 7: Learning II
Session chair: Concha Bielza
- Mariana Vargas Vieyra. Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization.
- Kiattikun Chobtham and Anthony C. Constantinou. Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.
- Pierre Gillot and Pekka Parviainen. Convergence of feedback arc set-based heuristics for linear structural equation models.
- Charupriya Sharma and Peter van Beek. Scalable Bayesian Network Structure Learning with Splines.
15.40 – 16.00 COFFEE BREAK
16.00 – 17.00 SESSION 8: Explainability
Session chair: Enrique Súcar
- Marcel Gehrke, Ralf Möller and Tanya Braun. Who did it? Identifying the Most Likely Origins of Events.
- Bhagirath Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M Haas, Kristian Kersting and Sriraam Natarajan. Explaining Deep Tractable Probabilistic Models: The sum-product network case.
- Enrique Valero-Leal, Pedro Larrañaga and Concha Bielza. Interpretable Time-Varying Dynamic Bayesian Networks with Applications to Earth Climate Modelling.
Friday, 7th of October
9.30 – 10.30 SESSION 9: Foundations II
Session chair: Pedro Larrañaga
- Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen. A Reparameterization of Mixtures of Truncated Basis Functions and its Applications.
- Iván Pérez and Jirka Vomlel. On the rank of 2×2×2 probability tables.
- Nils Donselaar, Johan Kwisthout and Hans Bodlaender. Parameterized Completeness Results for Bayesian Inference.
10.30 – 10.50 COFFEE BREAK
10.50 – 12.10 SESSION 10: Learning III
Session chair: Marco Scutari
- Rafael Ballester-Ripoll and Manuele Leonelli. You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks.
- Manuele Leonelli and Gherardo Varando. Highly Efficient Structural Learning of Sparse Staged Trees.
- Jirka Vomlel, Vaclav Kratochvil and František Kratochvíl. Learning noisy-or networks with an application in linguistics.
- Enrico Giudice, Jack Kuipers and Giusi Moffa. The Dual PC Algorithm for Structure Learning.
12.20 – 13.00 SESSION 11: Decision models
Session chair: Manuel Gómez-Olmedo
- Barry Cobb. Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes.
- Zhennan Wu and Roni Khardon. Approximate Inference for Stochastic Planning in Factored Spaces.
13.00 – 13.45 COMMUNITY MEETING
13.45-15.00 LUNCH AND FAREWELL