Saleh Alyahyan

Variance-Adaptive Self-Regularizing Ensemble Learning for Robust Predictions in Small-Data Regimes

The small-data regime remains one of the most important and pressing problems in machine learning. With only a few hundred sample points in the training set, conventional ensemble methods are potentially unreliable because they have high variance, low generalization and are sensitive to individual points in the dataset...