ONLINE VECTOR BALANCING
Mehtaab Sawhney (MIT)
30-Sep-2021, 21:30-23:00 (3 years ago)
Abstract: We study discrepancy minimization for vectors in $mb{R}^n$ in an online setting. The main result is a pair of nearly-linear time online algorithms which maintain logarithmic bounds for the Koml'{o}s~conjecture. The first algorithm is based on a high-dimensional comparison argument while the second is based on a discrete random walk on the real line with the Gaussian distribution as a stationary distribution. (Joint w/ Ryan Alweiss, Yang P. Liu, Ashwin Sah)
Computer scienceMathematicsPhysics
Audience: researchers in the topic
MIT Simple Person's Applied Mathematics Seminar
Organizers: | André Lee Dixon*, Ranjan Anantharaman, Aaron Berger |
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