Scalable Bayesian Gaussian Process Method Aims at Calibrated Uncertainty in Cancer Histopathology

A new arXiv paper presents a scalable Bayesian Gaussian process classification approach for cancer histopathology, targeting calibrated uncertainty under distribution shift where neural networks and variational GPs fall short.

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1. 2026-11-06 05:00 · arXiv cs.LG
   Scalable Bayesian Gaussian Process Classification for Cancer Histopathology: Calibrated Uncertainty Under Distribution Shift