Optuna is an open source hyperparameter optimization framework to automate hyperparameter search
Joined February 2020
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10 Nov 2025
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/announcing…
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Optuna v4.9.0 has been released! 🚀
This release enhances GPSampler with the Kriging Believer strategy, significantly improving parallel efficiency for multi-objective and constrained optimization.
👇 Check out the full release notes:
github.com/optuna/optuna/rel…
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May 21
Eri Sawada introduces the constant-liar and Kriging-believer approaches to Optuna's GPSampler. These methods enable efficient parallelization for single-objective, multi-objective, and constrained optimization. Learn more in our article: medium.com/p/10d42aeb5d49
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Mar 24
Optuna can also be applied in material science. A blog post has been published detailing its use case in crystal structure prediction.
tech.preferred.jp/en/blog/ma…
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Mar 16
Optuna v4.8.0 has been released! 🚀
This release introduces the constant liar strategy to GPSampler for improved distributed optimization (currently for single-objective & unconstrained tasks). Further improvements are coming in v4.9.0!
👇See what’s new
github.com/optuna/optuna/rel…
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Jan 19
Optuna v4.7.0 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/rel…
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Jan 14
Nice work! This research uses Optuna for multi-objective black-box optimization in manipulator design.
🚀Our New Paper "Analysis of Various Manipulator Configurations Based on Multi-Objective Black-Box Optimization" is now published in Advanced Robotics!
We compare manipulator configurations via multi-objective optimization and explore future designs!
haraduka.github.io/bbo-manip…
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OptunaAutoML retweeted
Jan 8
Honored to be interviewed about the history of Optuna. It covers everything from our early challenges in 2018 to the mindset I carry into my work today.
Full interview (in Japanese): findy-code.io/engineer-lab/i…
Jan 8
Optunaの開発秘話についてインタビューして頂きました！
2018年当時のOptuna誕生の経緯と裏側、この経験の振り返りや学び、今の仕事にも繋がる自分の根底にある考え方、などを上手く引き出してまとめてくださってます。ぜひ！ findy-code.io/engineer-lab/i…
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17 Nov 2025
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-das…
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28 Oct 2025
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/autosample…
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OptunaAutoML retweeted
11 Oct 2025
Our Optuna paper has reached over 10,000 citations! A huge thank you to the amazing co-authors, contributors, and community! 🌀🚀
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8 Oct 2025
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/2510.02798v1
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22 Sep 2025
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-v4-…
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19 Aug 2025
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
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18 Aug 2025
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/rel…
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20 Jun 2025
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/announcing…
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
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16 Jun 2025
Optuna v4.4 has been released with various new features, bug fixes, and enhancements.
🚀Optuna MCP server, which is our first LLM intensive toolchain
✅Gaussian process-based algorithm now supports multi-objective optimization
🌀A lot of new features in OptunaHub
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16 Jun 2025
See the repository for more details of Optuna MCP server github.com/optuna/optuna-mcp
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