Schulman

New kernel sum bounds achieved via fast spherical embeddings

Researchers have developed a new theoretical bound for estimating kernel means, improving upon existing methods for datasets in high-dimensional spaces. The novel approach utilizes a fast spherical embedding theorem, wh…