Surrogate model

Sat, 18 Jul 2026 10:17:11 +0000

Definition

In machine learning and optimization, a surrogate model serves as a proxy for a target function that is difficult to evaluate directly. It is trained on input-output pairs from the original model to predict outcomes quickly and cheaply. Common techniques include Gaussian Processes, Polynomial Chaos Expansion, and neural networks. Surrogate models are essential for hyperparameter tuning, sensitivity analysis, and optimizing systems where each evaluation takes significant time or resources.

ML Technique on English AI Terms Dictionary

Surrogate model

Definition