Efficient Piecewise-Linear Embeddings for Deep Tabular Regression by Guided Breakpoint Allocation
GBDT-Guided Piecewise-Linear (GGPL) embeddings are introduced, which leverage GBDTs to provide a strong data-driven prior for breakpoint placement and fine-tune these breakpoints via gradient descent, which establishes GGPL as an effective numerical embedding for deep tabular regression.