Provably robust learning of regression neural networks using $\beta$-divergences

Abhik Ghosh, Suryasis Jana

Regression neural networks (NNs) are most commonly trained by minimizing the mean squared prediction error, which is highly sensitive to outliers and data contamination. Existing r…