
TL;DR
This paper simplifies the estimation of moments for Gaussian chaoses by leveraging Talagrand's generic chaining, improving the understanding of their probabilistic behavior.
Contribution
It introduces a significantly simplified proof of Lata{ }a's moment estimates for Gaussian chaoses using generic chaining techniques.
Findings
Simplified proof of Gaussian chaos moments estimation
Enhanced understanding of Gaussian chaos behavior
Potential for improved bounds in related probabilistic analyses
Abstract
This paper deals with Lata{\l}a's estimation of the moments of Gaussian chaoses. It is shown that his argument can be simplified significantly using Talagrand's generic chaining.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
