Analyzing Tree-Regularized Tabular Embeddings for Improved Performance

The author emphasizes the importance of homogeneous embeddings and regularizing tabular inputs through supervised pretraining to improve performance. By transforming raw variables into tree-regularized representations, the proposed method achieves comparable or better results than advanced NN models.