{
  "id": 13858720,
  "title": "Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping",
  "url": "https://urgent.news/2026/10/09/revisiting-tabular-deep-regression-objectives-and-the-limits-of",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T17:49:32.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.13909v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "While deep learning models for tabular data have recently received significant research attention, the choice of objective functions for regression tasks remains an understudied degree of freedom. Several lines of research offer alternatives to the standard Mean Squared Error (MSE), but differences in datasets, backbones, and evaluation protocols make their practical benefits difficult to…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}