OptunaAutoML
@OptunaAutoML
Optuna is an open source hyperparameter optimization framework to automate hyperparameter search
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Optuna v4.6 has been released! 📊Optuna Dashboard LLM Integration 🚀Significant speedup of GPSampler 🦾Full support for multi-objective and constrained optimization in AutoSampler ⛏️Robust Bayesian Optimization Algorithms medium.com/optuna/announc…
Optuna Dashboard now supports LLM integration🎉 You can now ask in natural language to generate Plotly charts or filter trials. Learn how we designed and implemented these LLM features. medium.com/optuna/optuna-…
AutoSampler now fully supports multi-objective & constrained optimization! AutoSampler lets you efficiently solve a wide range of problems without worrying about which optimization algorithm to use. Learn more in our article: medium.com/optuna/autosam…
Our Optuna paper has reached over 10,000 citations! A huge thank you to the amazing co-authors, contributors, and community! 🌀🚀
We published an arXiv preprint entitled "OptunaHub: A Platform for Black-Box Optimization." The paper describes the motivation and the ecosystem overview. arxiv.org/abs/2510.02798…
Kaito Baba (@kAIto47802) added constraint handling for multi-objective optimization by GPSampler, a Gaussian process-based Bayesian optimization. It is especially beneficial when many expensive metrics need to be considered. Learn more in our article: medium.com/optuna/optuna-…
We recently published an arXiv article about a sample-efficient black-box combinatorial optimization for TPE by considering distance structures of categorical parameters. This feature is available via categorical_distance_func in TPESampler. arxiv.org/abs/2507.08053
Optuna v4.5 has been released! ⛏️GPSampler for constrained multi-objective optimization 🚀Significant speedup of TPESampler and plot_hypervolume_history 🦾CmaEsSampler now supports 1D search space 🐍The optunahub library is published on conda-forge github.com/optuna/optuna/…
Optuna v4.4 is now available as of June 16! This release introduces the Optuna MCP Server, our first LLM-based toolchain. We're already hard at work on Optuna v5, following our roadmap. For full details, check out our blog post. medium.com/optuna/announc…
Optuna v4.4 will be released this month, and the roadmap for their next exciting major release- Optuna v5- has just been published! Read more on their blog here: hubs.la/Q03sdMn80
Optuna v5 will be built with the power of the community! We'd love your input and participation — check out the feedback form on the roadmap: forms.gle/wVwLCQ9g6st6AX…
Our OptunaHub Benchmarks article is featured on AutoML Space:) Sampler benchmarking becomes easier with OptunaHub Benchmarks! automl.space/optunahub-benc…
automl.space
OptunaHub Benchmarks: A New Feature to Use/Register Various Benchmark Problems - AutoML-Space
This entry is a cross post of the OptunaHub Benchmark article written by one of the Optuna developers, Yoshihiko Ozaki. Introduction Performance benchmarking is essential in both research and...
OptunaHub v0.2.0 has added a new feature, OptunaHub Benchmarks, which makes it easy to use various benchmark problems in the fields of black-box optimization and AutoML! Developer Yoshihiko Ozaki (@y0zaki) introduces how to use this feature. medium.com/optuna/optunah…
Optuna v4.3.0 has been released! This is a maintenance release with various minor bug fixes and improvements to the documentation and more. 👇See what’s new github.com/optuna/optuna/…
![OptunaAutoML's tweet card. This is the release note of v4.3.0. Highlights This has various bug fixes and improvements to the documentation and more. Breaking Changes [fix] lgbm 4.6.0 compatibility (optuna/optuna-integration...](https://pbs.twimg.com/card_img/1995824874133078016/vACOioTy?format=jpg&name=orig)
In Optuna v4.2, the gRPC storage proxy has been added for large-scale distributed optimization. Check out our latest blog post for details! medium.com/optuna/distrib…
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