Seminar: Classification with Low Rank and Missing Data

SpeakerElad Hazan
AffiliationPrinceton University
DateFriday, 28 Aug 2015
Time13:00 - 14:00
LocationRoberts G08 (Sir David Davies lecture theatre)
Event seriesMicrosoft Research CSML Seminar Series

We consider classification and regression tasks where we have missing
data and assume that the (clean) data resides in a low rank subspace.
We describe an efficient algorithm with provable guarantees for this
setting, as well as a general technique for circumventing
computational hardness via non-reconstructive learning.

based on joint work with Roi Livni and Yishay Mansour

Elad Hazan is researching the automation of the mechanism of
learning and its efficient algorithmic implementation. He is a member
of the faculty of Princeton University, department of computer

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