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Papers in Bayesian Modeling and Causal Inference 13

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Disentangling causality: assumptions in causal discovery and inference
2022 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova

7

citations
Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach
2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova

2

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Finding an $ε$-close Variation of Parameters in Bayesian Networks
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

0

citations
DATA-DRIVEN CAUSAL DISCOVERY IN CATALYSIS
2026 ChemRxiv preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bárbara Alves Sequeira, Adèle H. Ribeiro, Catarina Barata, Carmen Bacariza, Pedro S. F. Mendes

0

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Saber Salehkaleybar, Aske Plaat, Erman Acar

0

citations
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Gijs van Seeventer, Saber Salehkaleybar

0

citations
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations

13 results