[Colloquium] Reminder: Ding/MS Presentation/Jan 26, 2018

[Margaret Jaffey via Colloquium]

This is a reminder about Yi Ding's MS Presentation tomorrow.

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Date:  Friday, January 26, 2018

Time:  3:00 PM

Place:  Ryerson 277

M.S. Candidate:  Yi Ding

M.S. Paper Title: Multiresolution Kernel Approximation for Gaussian
Process Regression

Abstract:
Gaussian process regression generally does not scale to beyond a few
thousands data points without applying some sort of kernel
approximation method. Most approximations focus on the high eigenvalue
part of the spectrum of the kernel matrix, $K$, which leads to bad
performance when the length scale of the kernel is small. In this
thesis we introduce Multiresolution Kernel Approximation (MKA), the
first true broad bandwidth kernel approximation algorithm. Important
points about MKA are that it is memory efficient, and it is a direct
method, which means that it also makes it easy to approximate $K^{-1}$
and $\mathop{\textrm{det}}(K)$.

Yi's advisor is Prof. Risi Kondor

Login to the Computer Science Department website for details:
 https://www.cs.uchicago.edu/phd/ms_announcements#dingy

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Margaret P. Jaffey            margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 156)               (773) 702-6011
The University of Chicago      http://www.cs.uchicago.edu
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