mlsanityData to 7 Oct 2026

Bayesian Optimization with Exponential Convergence

arXiv 1604.01348 ↗First posted 5 Apr 2016stat.ML cs.LGcited by 18

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Abstract (arXiv)

This paper presents a Bayesian optimization method with exponential convergence without the need of auxiliary optimization and without the delta-cover sampling. Most Bayesian optimization methods require auxiliary optimization: an additional non-convex global optimization problem, which can be time-consuming and hard to implement in practice. Also, the existing Bayesian optimization method with exponential convergence requires access to the delta-cover sampling, which was considered to be impractical. Our approach eliminates both requirements and achieves an exponential convergence rate.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Apr 2016.

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Citing papers per year: 2021: 8; 2022: 2; 2023: 4; 2024: 1; 2025: 3.

18 papers.

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  1. 2021Optimal Order Simple Regret for Gaussian Process Banditscited by 52
  2. 2022Pareto Set Learning for Expensive Multi-Objective Optimizationcited by 51
  3. 2023The Behavior and Convergence of Local Bayesian Optimizationcited by 19
  4. 2021Derivative-Free Reinforcement Learning: A Reviewcited by 15
  5. 2025Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimizationcited by 13
  6. 2021Understanding Dynamics of Nonlinear Representation Learning and Its Applicationcited by 11
  7. 2021Fair Clustering Using Antidote Datacited by 10
  8. 2021Multi-objective Optimization by Learning Space Partitionscited by 8
  9. 2021Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretizationcited by 7
  10. 2022Optimization on Manifolds via Graph Gaussian Processescited by 4
  11. 2021Bayesian Optimistic Optimisation with Exponentially Decaying Regretcited by 3
  12. 2023Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimizationcited by 3
6 more
  1. 2024A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detectioncited by 3
  2. 2025Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?cited by 3
  3. 2023OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagationcited by 2
  4. 2023LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regionscited by 2
  5. 2021Power of human-algorithm collaboration in solving combinatorial optimization problemscited by 0
  6. 2025Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimizationcited by 0