Identification of Nonlinear and Dependent Latent Factor Structure through Clique Search

arXiv:2609.32926 · stat.ME, stat.ML · Submitted 2026-09-26 · Read on arXiv

stat.ME, stat.ML

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Consistency — 14× in this paper · explained in 3 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Dependence Thresholding — 5× in this paper
• F1 Score — 5× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Sparsity — 4× in this paper · explained in 4 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 3 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Auto-Encoding Variational Bayes

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