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📐 Approximation Theory in Hyperparameter Optimization

A 3D surrogate-model explorer — watch a kernel-weighted surrogate ŝ(λ) approximate a hidden true objective f(λ) from a handful of noisy samples, and see how sample count, kernel lengthscale and noise trade off bias, variance and approximation error.

Machine Learning & Neural Networks3DAdvanced60 FPS

⚙ Under the hood

Watch a kernel-weighted surrogate model approximate a hidden 3D objective landscape from a handful of noisy observations — tune sample count, kernel lengthscale and observation noise and see the bias/variance trade-off and pointwise approximation error respond live.

Three.jsApproximation TheorySurrogate ModelsKernel RegressionHyperparameter OptimizationMachine Learning

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install