skip to main content

TCS+ Talk

Wednesday, February 1, 2017
10:00am to 11:00am
Add to Cal
Annenberg 308
Algorithmic Discrepancy Beyond Partial Coloring
Nikhil Bansal, Eindhoven University of Technology,

Partial coloring is one of the most widely used methods in combinatorial discrepancy. 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 arbitrarily. I will describe a recent algorithmic approach that overcomes these limitations and can be used to efficiently find colorings matching the so-called Banaszczyk's bound for many problems.

Based on joint works with Daniel Dadush and Shashwat Garg.

For more information, please contact Bonnie Leung by email at [email protected].