Regional summaries of Bayesian model uncertainty

arXiv:2606.21080 · stat.ML, cs.LG, stat.ME · Submitted 2026-06-19 · Read on arXiv

stat.ML, cs.LG, stat.ME

Submitted: 2026-06-19

Updated: 2026-10-19

Comments: 48 pages, 6 figures. The manuscript uses the JMLR style file. Source code and reproducibility materials are available at https://github.com/lihanqing1997/bayesian-model-averaging-under-predictor-redundancy

Code: https://github.com/lihanqing1997/bayesian-model-averaging-under-predictor-redundancy

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

Terminology

• Redundancy — 51× in this paper · explained in 2 episodes
• Benchmark — 29× in this paper · explained in 2 episodes
• Clustering — 9× in this paper · explained in 2 episodes
• Lasso — 8× in this paper · explained in 2 episodes
• Hamming Distance — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Pruning — 3× in this paper · explained in 4 episodes
• Composition — 2× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Effective Sample Size (ESS) — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sequential Monte Carlo (SMC) — 1× in this paper · explained in 2 episodes

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