scientific article; zbMATH DE number 7164727

zbMath1434.68414arXiv1612.05678MaRDI QIDQ5214218

Duncan A. J. Blythe, Steven M. Hill, Sach Mukherjee, Chris J. Oates

Publication date: 7 February 2020

Full work available at URL: https://arxiv.org/abs/1612.05678

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

semi-supervised learningmanifold regularizationinterventional datacausal graphscausal learning

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Improved baselines for causal structure learning on interventional data

Uses Software

• R

Cites Work

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• Towards a theoretical foundation for Laplacian-based manifold methods
• Estimating high-dimensional intervention effects from observational data
• Causation, prediction, and search
• Generalization errors of Laplacian regularized least squares regression
• Learning Theory
• Two-sample Testing in High Dimensions
• Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

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