Model Releases
OptunaHub: A Platform for Black-Box Optimization
arXiv:2510.02798v2 Announce Type: replace Abstract: Black-box optimization (BBO) underpins advances in domains such as AutoML and Materials Informatics, yet implementations of algorithms and benchmark
arXiv:2510.02798v2 Announce Type: replace Abstract: Black-box optimization (BBO) underpins advances in domains such as AutoML and Materials Informatics, yet implementations of algorithms and benchmarks remain fragmented across research communities. We introduce OptunaHub (https://hub.optuna.org/), a community-oriented, decentralized platform for distributing BBO components under a unified Optuna-compatible interface. OptunaHub enables independent publication, discovery, and reuse of optimization algorithms and benchmark problems through a lightweight Python module, a contributor-driven registry, and a searchable web interface. The source code is publicly available in the href{https://github.com/optuna/optunahub}{exttt{optunahub}}, href{https://github.com/optuna/optunahub-registry}{exttt{optunahub-registry}}, and href{https://github.com/optuna/optunahub-web}{exttt{optunahub-web}} repositories under the Optuna organization on GitHub (https://github.com/optuna/).
Source: arXiv cs.LG | 2026-04-21