Optuna is an open source hyperparameter optimization framework to automate hyperparameter search
Joined February 2020
- Tweets271
- Following1
- Followers3.6K
- Likes14
Pinned Tweet
Today we're launching “Rustuna”, a faster Optuna implementation written in Rust ⚡️
Rustuna is designed as a faster alternative to Optuna, with a familiar API, a lower memory footprint, and no Python runtime dependencies. See how it compares with Optuna in the benchmark below 👇
We have improved the default optimization algorithm in the new major version v5.0 of Optuna. Here is an overview of the discussions and development that led to this improvement.
medium.com/optuna/improving-…
Kaito Baba introduces the PED-ANOVA algorithm, now the default hyperparameter importance evaluator in Optuna v5 and Rustuna. medium.com/optuna/optuna-v5-…
OptunaAutoML retweeted
I made an unofficial intro to Optuna, a tool I love!
The YouTube version goes longer and deeper. This link is in English (Japanese too). All my YouTube videos will come in English.
Please subscribe!
*Independent work, not affiliated with Preferred Networks.
youtu.be/JQUkFOLC7r8
Rustuna v0.1.1 patch just released.
This patch includes a minor bug fix for optimizations using the maximize direction.
github.com/optuna/rustuna/re…
Eri Sawada explains parallel Bayesian optimization based on the q-Batch acquisition function using the Monte Carlo method, introduced in Optuna v5. Read the article here: medium.com/optuna/improving-…
🎉 Our paper "OptunaHub: A Platform for Black-Box Optimization" has been published in the Journal of Machine Learning Research!
A community-driven platform to publish & discover BBO algorithms and benchmarks via a unified Optuna-compatible interface.
📄 jmlr.org/papers/v27/25-2424.…
Want to know why we built Rustuna and how we made it so fast? Read the full story in our release blog post 👇
medium.com/optuna/announcing…
Alongside Rustuna, we’re also releasing Optuna v5.0 🎉
📈Massive default sampler enhancement
🔨Conditional PED-ANOVA (KDD 2026)
🌈New API for constrained optimization
🦾Improved Parallel GPSampler
For details, see the following blog post.
medium.com/optuna/releasing-…
We’ll be presenting our work, “Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces”, at #KDD2026 🇰🇷
The method will be the default hyperparameter importance evaluator in Optuna v5 🎉
Stop by to learn more!
dl.acm.org/doi/10.1145/37708…
Release candidate of Optuna v5 is available! Update and report bugs for the next major version.
📈Massive default sampler algorithm enhancement
🔨Conditional PED-ANOVA (KDD 2026)
🌈New API for constrained optimization
Since this is a pre-release, do not forget to specify the version number to upgrade Optuna.
$ pip install optuna==5.0.0rc1
👇For more information, please refer to the release note:
github.com/optuna/optuna/rel…
Optuna Dashboard JupyterLab Extension v0.3.0 is out.
This release significantly reduces dependencies, resulting in lower supply-chain risk, a ~50% smaller JS bundle, and lower browser memory usage.
Release notes: github.com/optuna/optuna-das…
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…
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
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…
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…
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…
