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FOCS 2009

Bounded Independence Fools Halfspaces

Conference Paper Accepted Paper Algorithms and Complexity · Theoretical Computer Science

Abstract

We show that any distribution on {-1, +1} n that is k-wise independent fools any halfspace (a. k. a. threshold) h: {-1, +1} n ¿ {-1, +1}, i. e. , any function of the form h(x) = sign(¿ i=1 n w i X i - ¿) where the w 1, .. ., w n, ¿ are arbitrary real numbers, with error ¿ for k = O(¿ -2 log 2 (1/¿)). Our result is tight up to log(1/¿) factors. Using standard constructions of k-wise independent distributions, we obtain the first explicit pseudorandom generators G: {-1, +1} s ¿ {-1, +1} n that fool halfspaces. Specifically, we fool halfspaces with error e and seed length s = k · log n = O(log n · ¿ -2 log 2 (1/¿)). Our approach combines classical tools from real approximation theory with structural results on halfspaces by Servedio (Comput. Complexity 2007).

Authors

Keywords

  • Circuits
  • Computer science
  • Game theory
  • Silicon
  • Educational institutions
  • Information science
  • Approximation methods
  • Boosting
  • Support vector machines
  • Voting
  • Approximation Theory
  • Error Bounds
  • Critical Indicator
  • Small Circuit
  • Univariate Polynomial
  • halfspaces
  • pseudorandomness
  • k-wise independent distributions

Context

Venue
IEEE Symposium on Foundations of Computer Science
Archive span
1975-2025
Indexed papers
3809
Paper id
3196925429870060