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Papers matching “machine learning” in Bayesian Modeling and Causal Inference 7

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Query Languages for Machine-Learning Models (Invited Talk)
2026 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Bayesian Modeling and Causal Inference Open access

Martin Grohe

0

citations
Query Languages for Machine-Learning Models
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Martin Grohe

0

citations
Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

citations
Foundations of Probabilistic Programming
2020 Cambridge University Press eBooks book Computer Science Bayesian Modeling and Causal Inference Open access

Fredrik Dahlqvist, Alexandra Silva, Dexter C. Kozen, Sam Staton, Daniel Huang, Greg Morrisett, +40 more

63

citations
Foundations of probabilistic programming
2021 RWTH Publications (RWTH Aachen) book Computer Science Bayesian Modeling and Causal Inference Open access

Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva

0

citations
A Deep Dive into the Weisfeiler-Leman Algorithm (Invited Talk)
2021 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Bayesian Modeling and Causal Inference Open access

Martin Grohe

0

citations
Exact Probabilistic Inference Using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Lutz Klinkenberg, Mingshuai Chen, Joost-Pieter Katoen

1

citations

7 results