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Perspectives on Stochastic Localization

Published: October 6, 2025 | arXiv ID: 2510.04460v1

By: Bobby Shi, Kevin Tian, Matthew S. Zhang

Potential Business Impact:

Explains how to build better computer programs.

Business Areas:
A/B Testing Data and Analytics

We survey different perspectives on the stochastic localization process of [Eld13], a powerful construction that has had many exciting recent applications in high-dimensional probability and algorithm design. Unlike prior surveys on this topic, our focus is on giving a self-contained presentation of all known alternative constructions of Eldan's stochastic localization, with an emphasis on connections between different constructions. Our hope is that by collecting these perspectives, some of which had primarily arisen within a particular community (e.g., probability theory, theoretical computer science, information theory, or machine learning), we can broaden the accessibility of stochastic localization, and ease its future use.

Country of Origin
πŸ‡¨πŸ‡¦ πŸ‡ΊπŸ‡Έ United States, Canada

Page Count
33 pages

Category
Mathematics:
Probability