Yandex Research's new tabular regression study compares 18 objectives, noise, and early stopping
RichmanRonald · x · 2026-10-22
Yandex Research released a new study on training neural networks for tabular regression, comparing 18 regression objectives and examining the role of noise and global early stopping in tabular deep learning. The team adds that quantile loss is often worth trying on regression tasks and may deserve to be the default.
Related event: Yandex Research Compares 18 Regression Objectives for Tabular Deep Learning(2 posts)→
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