• 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