# Huber Loss

> Source: https://sukruyusufkaya.com/en/glossary/huber-kaybi
> Updated: 2026-05-13T21:08:12.446Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A hybrid loss function that balances MSE and MAE behavior and is more robust to outliers.

<p>Huber loss is a hybrid loss function that behaves like MSE for small errors and like MAE for large ones. This preserves the benefits of smooth optimization while reducing the dominance of outliers. In regression problems where both stability and robustness are desirable, it can be a strong choice. Huber loss reflects an important engineering truth: a single extreme approach is not always ideal. Sometimes the best design is a smart balance between two ends of the spectrum.</p>