mlsanityData to 7 Oct 2026

OpenBox: A Python Toolkit for Generalized Black-box Optimization

arXiv 2304.13339 ↗First posted 26 Apr 2023cs.LGcited by 9

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Abstract (arXiv)

Black-box optimization (BBO) has a broad range of applications, including automatic machine learning, experimental design, and database knob tuning. However, users still face challenges when applying BBO methods to their problems at hand with existing software packages in terms of applicability, performance, and efficiency. This paper presents OpenBox, an open-source BBO toolkit with improved usability. It implements user-friendly interfaces and visualization for users to define and manage their tasks. The modular design behind OpenBox facilitates its flexible deployment in existing systems. Experimental results demonstrate the effectiveness and efficiency of OpenBox over existing systems. The source code of OpenBox is available at https://github.com/PKU-DAIR/open-box.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 35 of its 73 references that are in the map. First posted on arXiv 26 Apr 2023.

Builds on

35 of 73 references.

References · 35

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23 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 0; 2025: 5; 2026: 2.

9 papers.

  1. 2023SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processescited by 27
  2. 2025OptunaHub: A Platform for Black-Box Optimizationcited by 14
  3. 2025Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Designcited by 3
  4. 2026Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASHcited by 2
  5. 2023Towards General and Efficient Online Tuning for Sparkcited by 1
  6. 2025ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimizationcited by 1
  7. 2025SemanticOpt: Towards LLM-Based Semantic Black-Box Optimizationcited by 1
  8. 2025Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptionscited by 0
  9. 2026CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAGcited by 0