From

Institution

Field

Type

Topic: Bayesian Modeling and Causal Inference ×

Journal / venue: arXiv (Cornell University) ×

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers in Bayesian Modeling and Causal Inference 9

Sort: Cited Newest Oldest Fwci Patents ⇩ CSV

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
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
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

9 results