✨ TL;DR
Bayesian optimization via Gaussian Process surrogate — installs with pip install bayesian-optimization, runs in <5s with no GPU.
04 · Results
On the benchmark function f(x,y) = -x^2 - (y-1)^2 + 1 (maximum at x=0, y=1, f=1.0), the optimizer finds target > 0.9 within 5 iterations. After 10 total iterations the best observed target is typically 0.95-0.99.
✨ Generated by Claude · Apr 25, 2026 · Read the PDF for authoritative content.