Arrow Research search
Back to STOC

STOC 2017

Algorithmic discrepancy beyond partial coloring

Conference Paper Session 7C Algorithms and Complexity ยท Theoretical Computer Science

Abstract

The partial coloring method is one of the most powerful and widely used method in combinatorial discrepancy problems. However, in many cases it leads to sub-optimal bounds as the partial coloring step must be iterated a logarithmic number of times, and the errors can add up in an adversarial way.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
48965782483640733