Efficient and Generalizable Archetypal Analysis for Discrete Data

arXiv:2610.12035 · stat.ML, cs.LG · Submitted 2026-10-08 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/Wedenborg/distribution-agnostic-archetypal-analysis

Terminology

• Archetype — 75× in this paper · explained in 1 episode
• Archetypal Analysis — 25× in this paper
• Generalization — 8× in this paper · explained in 13 episodes
• Sequential Minimal Optimization — 6× in this paper
• Loss Function — 3× in this paper · explained in 2 episodes
• Normalized Mutual Information — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Abundance — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Quadratic Programming — 1× in this paper
• Quadratic Programming (QP) — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Unsupervised Learning of Artistic Styles with Archetypal Style Analysis
• A Survey on Archetypal Analysis

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