CARE: Context-Aware Ranking Evolution with Executable Scoring Programs for Budgeted Reaction Optimization

arXiv:2606.14581 · cs.LG, cs.AI · Submitted 2026-06-12 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-06-12

Updated: 2026-08-31

Comments: 27 pages, 5 figures. Code: https://github.com/SHITIANYU-hue/care

Code: https://github.com/SHITIANYU-hue/care

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

Terminology

• Regret — 47× in this paper · explained in 3 episodes
• AUC — 40× in this paper · explained in 2 episodes
• Adaptation — 37× in this paper · explained in 1 episode
• Benchmark — 21× in this paper · explained in 2 episodes
• Trace — 19× in this paper · explained in 2 episodes
• Bayesian Optimization — 12× in this paper · explained in 3 episodes
• Adaptive Selection — 10× in this paper · explained in 1 episode
• Acquisition Function — 6× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Post-Selection — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Optimization (BO) — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Language-Based Bayesian Optimization Research Assistant — 1× in this paper
• Reward Function — 1× in this paper · explained in 2 episodes

Sources

• BoFire: Bayesian Optimization Framework Intended for Real Experiments

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