Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries

arXiv:2603.26024 · cs.LG, cs.LO · Submitted 2026-03-27 · Read on arXiv

cs.LG, cs.LO

Submitted: 2026-03-27

Updated: 2026-09-03

Comments: 16 pages, 8 figure, 7 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Monotonicity Index — 19× in this paper
• Accuracy — 18× in this paper · explained in 1 episode
• Anticipated Asymmetric Geometries — 7× in this paper
• Design of Experiment — 7× in this paper
• Regularization — 5× in this paper · explained in 3 episodes
• AUC — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Causal Inference — 2× in this paper · explained in 4 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Designing Complex Experiments by Applying Unsupervised Machine Learning
• Auto-Encoding Variational Bayes
• Identifiability of Causal Graphs using Functional Models

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