PyXAB -- A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
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Abstract (arXiv)
We introduce a Python open-source library for X-armed bandit and online blackbox optimization named PyXAB. PyXAB contains the implementations for more than 10 X-armed bandit algorithms, such as HOO, StoSOO, HCT, and the most recent works GPO and VHCT. PyXAB also provides the most commonly-used synthetic objectives to evaluate the performance of different algorithms and the various choices of the hierarchical partitions on the parameter space. The online documentation for PyXAB includes clear instructions for installation, straight-forward examples, detailed feature descriptions, and a complete reference of the API. PyXAB is released under the MIT license in order to encourage both academic and industrial usage. The library can be directly installed from PyPI with its source code available at https://github.com/WilliamLwj/PyXAB
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 7 Mar 2023.
Builds on
7 of 13 references.
References · 7
- 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimizationcited by 688
- 2013Optimal rates for zero-order convex optimization: the power of two function evaluationscited by 190
- 2015An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedbackcited by 105
- 2018A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumptioncited by 22
- 2014Online Stochastic Optimization under Correlated Bandit Feedbackcited by 11
- 2021Optimum-statistical Collaboration Towards General and Efficient Black-box Optimizationcited by 6
- 2022Federated X-Armed Banditcited by 5
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Citing papers per year: 2023: 2; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2026Instance-dependent Stochastic Lipschitz bandit28 May 2026
- 2024Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions23 Feb 2024
- 2023Personalized Federated X -armed Bandit25 Oct 2023
- 2023Robust Lipschitz Bandits to Adversarial Corruptions29 May 2023