73 citations · 85 across the 2 of their papers we have counts for
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cs.LG2009★ 12 cited
Metric and Kernel Learning using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis +1
Metric and kernel learning are important in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimens…
cs.LG2009★ 73 cited
Guaranteed Rank Minimization via Singular Value Projection
Raghu Meka, Prateek Jain, Inderjit S. Dhillon
Minimizing the rank of a matrix subject to affine constraints is a fundamental problem with many important applications in machine learning and statistics. In this paper we propose…