Learning What to Evaluate: Correlation-Aware Decoupling for Multiobjective Bayesian Optimization

arXiv:2609.32632 · stat.ML, cs.LG · Submitted 2026-09-26 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/csdlpsu/qpots

Terminology

• Decoupling — 30× in this paper · explained in 2 episodes
• Bayesian Optimization — 18× in this paper · explained in 3 episodes
• Ablation — 16× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Acquisition Function — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptive Selection — 2× in this paper · explained in 1 episode
• Multi-objective Optimization — 2× in this paper · explained in 4 episodes
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• A Tutorial on Bayesian Optimization
• Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints

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