DocumentCode
1765511
Title
Covering Numbers for Convex Functions
Author
Guntuboyina, Adityanand ; Sen, Baha
Author_Institution
Dept. of Stat., Univ. of California, Berkeley, Berkeley, CA, USA
Volume
59
Issue
4
fYear
2013
fDate
41365
Firstpage
1957
Lastpage
1965
Abstract
In this paper, we study the covering numbers of the space of convex and uniformly bounded functions in multidimension. We find optimal upper and lower bounds for the ε-covering number of C([a, b]d, B), in the Lp-metric, 1 ≤ p <; ∞, in terms of the relevant constants, where d ≥ 1, a <; b ∈ ℝ, B > 0, and C([a, b]d, B) denotes the set of all convex functions on that are uniformly bounded by B. We summarize previously known results on covering numbers for convex functions and also provide alternate proofs of some known results. Our results have direct implications in the study of rates of convergence of empirical minimization procedures as well as optimal convergence rates in the numerous convexity constrained function estimation problems.
Keywords
convergence; entropy; minimisation; convex function; covering numbers; empirical minimization procedures; numerous convexity constrained function estimation problem; optimal convergence rate; uniform bounded function; Convergence; Convex functions; Estimation; Materials; Measurement; Minimization; Upper bound; $L_{p}$ -metric; Convexity constrained function estimation; Hausdorff distance; Kolmogorov entropy; empirical risk minimization; metric entropy; packing numbers;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2012.2235172
Filename
6392278
Link To Document