Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects

arXiv:2505.09552 · stat.ME, cs.LG, stat.ML · Submitted 2025-05-14 · Read on arXiv

stat.ME, cs.LG, stat.ML

Submitted: 2025-05-14

Updated: 2026-09-10

Code: https://github.com/fabsig/GPBoost

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

Terminology

• Accuracy — 28× in this paper · explained in 1 episode
• Trace — 11× in this paper · explained in 2 episodes
• Adjacency Matrix — 5× in this paper · explained in 1 episode
• Fisher Information — 5× in this paper · explained in 3 episodes
• Sparsity — 4× in this paper · explained in 4 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Spectral Gap — 1× in this paper · explained in 5 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables

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