331 citations · 418 across the 18 of their papers we have counts for
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stat.ML2017
If it ain't broke, don't fix it: Sparse metric repair
Anna C. Gilbert, Lalit Jain
Many modern data-intensive computational problems either require, or benefit from distance or similarity data that adhere to a metric. The algorithms run faster or have better perf…
stat.ML2017★ 10 cited
Learning Low-Dimensional Metrics
Lalit Jain, Blake Mason, Robert Nowak
This paper investigates the theoretical foundations of metric learning, focused on three key questions that are not fully addressed in prior work: 1) we consider learning general l…