BOCO: Bayesian Online Contextual Optimization for Decision-Focused Online Learning

arXiv:2511.20413 · math.OC, stat.ML · Submitted 2025-11-25 · Read on arXiv

math.OC, stat.ML

Submitted: 2025-11-25

Updated: 2026-09-23

Terminology

Regret — 13× in this paper · explained in 3 episodes
Contextual Bandits — 10× in this paper · explained in 3 episodes
Generalization — 6× in this paper · explained in 13 episodes
Bayesian Online Contextual Optimization — 5× in this paper
Aggregation — 4× in this paper · explained in 1 episode
Adam — 3× in this paper · explained in 2 episodes
Bayesian Inference — 2× in this paper · explained in 5 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Operations Research — 2× in this paper
Regularization — 2× in this paper · explained in 3 episodes
Reward Function — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Activation Function — 1× in this paper · explained in 1 episode
Actor — 1× in this paper · explained in 3 episodes
Adaptability — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Hastings Markov Chain Monte Carlo — 1× in this paper
Initial Data — 1× in this paper · explained in 2 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes
Score Function — 1× in this paper · explained in 4 episodes
Sequential Monte Carlo (SMC) — 1× in this paper · explained in 2 episodes
Theoretical Guarantees — 1× in this paper · explained in 2 episodes

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