Identifying an Honest ${\rm EXP}^{\rm NP}$ Oracle Among Many
Shuichi Hirahara

TL;DR
This paper introduces a framework for removing short advice in probabilistic computations using a concept called selectors, and demonstrates their existence for ${ m EXP}^{ m NP}$-complete languages, expanding understanding beyond instance checkers.
Contribution
The paper defines selectors as a new tool to remove short advice in probabilistic computation and proves their existence for ${ m EXP}^{ m NP}$-complete languages, surpassing the limitations of instance checkers.
Findings
Selectors can remove short advice for ${ m EXP}^{ m NP}$-complete languages.
Existence of selectors is proven using techniques related to ${ m MIP} = { m NEXP}$.
Selectors are a weaker property than instance checkers, with broader applicability.
Abstract
We provide a general framework to remove short advice by formulating the following computational task for a function : given two oracles at least one of which is honest (i.e. correctly computes on all inputs) as well as an input, the task is to compute on the input with the help of the oracles by a probabilistic polynomial-time machine, which we shall call a selector. We characterize the languages for which short advice can be removed by the notion of selector: a paddable language has a selector if and only if short advice of a probabilistic machine that accepts the language can be removed under any relativized world. Previously, instance checkers have served as a useful tool to remove short advice of probabilistic computation. We indicate that existence of instance checkers is a property stronger than that of removing short advice: although no instance checker for ${\rm…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Adversarial Robustness in Machine Learning
