Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4952465 | Theoretical Computer Science | 2016 | 14 Pages |
Abstract
The expected supremum of a Gaussian process indexed by the image of an index set under a function class is bounded in terms of separate properties of the index set and the function class. The bound is relevant to the estimation of nonlinear transformations or the analysis of learning algorithms whenever hypotheses are chosen from composite classes, as is the case for multi-layer models or multi-task feature learning.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Andreas Maurer,