Approximations of general independent distributions

  • Authors:
  • Guy Even;Oded Goldreich;Michael Luby;Noam Nisan;Boban Veličkovic

  • Affiliations:
  • Computer Science Department, Technion, Haifa, Israel;Computer Science Department, Technion, Haifa, Israel;International Computer Science Institute, 1947 Center Street, Berkeley, California;Department of Computer Science, Hebrew University, Jerusalem, Israel;Department of Mathematics, U.C. Berkeley

  • Venue:
  • STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
  • Year:
  • 1992

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe efficient constructions of small probability spaces that approximate the independent distribution for general random variables. Previous work on efficient constructions concentrate on approximations of the independent distribution for the special case of uniform boolean-valued random variables. Our results yield efficient constructions of small sets with low discrepancy in high dimensional space and have applications to derandomizing randomized algorithms.