Adaptive Bayesian Online Learning via Expert Aggregation

arXiv:2607.20239 · stat.ML, cs.LG · Submitted 2026-07-22 · Read on arXiv

Jungbin Jun, Ilsang Ohn

stat.ML, cs.LG

Submitted: 2026-07-22

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

Terminology

• Regret — 35× in this paper · explained in 4 episodes
• Regret Bound — 14× in this paper · explained in 2 episodes
• Loss Function — 8× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Variational Bayes — 6× in this paper · explained in 2 episodes
• Bayesian Inference — 5× in this paper · explained in 6 episodes
• Distribution Shift — 5× in this paper · explained in 12 episodes
• Hinge Loss — 4× in this paper · explained in 2 episodes
• Regret Bounds — 4× in this paper · explained in 2 episodes
• Streaming Variational Bayes — 4× in this paper
• Conformal Prediction — 3× in this paper · explained in 11 episodes
• Conformity — 3× in this paper · explained in 2 episodes
• Meta-learning — 3× in this paper · explained in 3 episodes
• Uncertainty Quantification — 3× in this paper · explained in 9 episodes
• Adaptive Random Forest — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Gaussian Process (GP) — 2× in this paper · explained in 2 episodes
• Online Gradient Approximation — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Aggregated Mondrian Forests — 1× in this paper
• Bias-Variance Trade-off — 1× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Distribution Shifts — 1× in this paper · explained in 2 episodes
• Exchangeability — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Heavy-Tailed Noise — 1× in this paper · explained in 3 episodes
• Hoeffding Adaptive Tree — 1× in this paper
• Hyperparameters — 1× in this paper · explained in 2 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 6 episodes
• Lasso — 1× in this paper · explained in 2 episodes
• Pinball Loss Function — 1× in this paper · explained in 2 episodes
• Regret Guarantees — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Score Function — 1× in this paper · explained in 4 episodes

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