Yaniv Plan

University of British Columbia

Yaniv Plan is an Assistant Professor of Mathematics at the University of British Columbia. His research interests lie in applied probability, high-dimensional inference, random matrix theory, compressive sensing, matrix completion and learning theory.

Dr. Plan is one of the leaders of the PIMS CRG in High Dimensional Data Analysis.

Yaniv Plan
Scientific, Seminar
Probability Seminar: Yaniv Plan
March 29, 2017
University of British Columbia
Let A be an isotropic, sub-gaussian m by n matrix. We prove that the process Z_x = ||A x||_2 – m^(.5) ||x||_2 has sub-gaussian increments. Using this, we show that for any bounded set T in R^n, the deviation of ∥Ax∥2 around its mean is uniformly...
Scientific, Distinguished Lecture
PIMS-UBC Distinguished Colloquium: Yaniv Plan
November 17, 2017
University of British Columbia
Random models lead to a precise and comprehensive theory of compressed sensing and matrix completion. The number of random linear measurements needed to recover a sparse signal, or a low-rank matrix, or, more generally, a structured signal, are now...