Optuna

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: https://lnkd.in/g7afeJK5

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: https://lnkd.in/gPJVdEdq

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: https://lnkd.in/gQFcpdua

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 https://lnkd.in/g7vJ6VHy

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 https://lnkd.in/g7vJ6VHy

Optuna v4.7.0 has been released! This is a maintenance release with various minor bug fixes, improvements to the documentation, and more. 👇See what’s new https://lnkd.in/g9dAsBnN

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. https://lnkd.in/g-apux78

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 https://lnkd.in/gHnywRbS

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: https://lnkd.in/g8eJgDcv

We published an arXiv preprint entitled "OptunaHub: A Platform for Black-Box Optimization." The paper describes the motivation and the ecosystem overview. https://lnkd.in/gvaKUgph