STOC 2017
Algorithmic discrepancy beyond partial coloring
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