Expected-Cost Analysis for Probabilistic Programs and Semantics-Level Adaption of Optional Stopping Theorems
arXiv:2103.16105
Abstract
In this article, we present a semantics-level adaption of the Optional Stopping Theorem, sketch an expected-cost analysis as its application, and survey different variants of the Optional Stopping Theorem that have been used in static analysis of probabilistic programs.
arXiv admin note: substantial text overlap with arXiv:2001.10150