Boundary Variance Inflation Causes Acquisition Bias in Gaussian Processes

This paper investigates inflated posterior variance near the boundary in Gaussian processes, tracing the root cause to the truncation of the kernel correlation neighborhood. It shows how this geometric distortion creates acquisition bias, affecting selection patterns across different acquisition classes, independent of objective functions.