Regret-Based (epsilon, delta) -optimal Stopping Criteria for Bayesian Optimization

arXiv:2605.22561 · cs.LG · Submitted 2026-05-21 · Read on arXiv

cs.LG

Submitted: 2026-05-21

Updated: 2026-10-22

Terminology

• Bayesian Optimization — 2× in this paper · explained in 3 episodes
• Regret — 2× in this paper · explained in 4 episodes
• Bayesian Optimization (BO) — 1× in this paper · explained in 4 episodes
• Gaussian Process (GP) — 1× in this paper · explained in 2 episodes
• Regret Bound — 1× in this paper · explained in 2 episodes
• Regret Bounds — 1× in this paper · explained in 2 episodes
• Surrogate Model — 1× in this paper · explained in 3 episodes
• Surrogate Models — 1× in this paper · explained in 3 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks