New Paper Introduces TabCUQ for Uncertainty Quantification in Tabular Foundation Models
A new arXiv paper presents TabCUQ, a method for context-uncertainty quantification in tabular foundation models, which use in-context learning to estimate conditional expected outcomes and average treatment effects for specific groups.
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv stat.ML
TabCUQ: Context-Uncertainty Quantification for Tabular Foundation Models