28 citations · 70 across the 20 of their papers we have counts for
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cs.LG2019★ 1 cited
Classification in asymmetric spaces via sample compression
Lee-Ad Gottlieb, Shira Ozeri
We initiate the rigorous study of classification in quasi-metric spaces. These are point sets endowed with a distance function that is non-negative and also satisfies the triangle…
cs.DS2019
Labelings vs. Embeddings: On Distributed Representations of Distances
Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
We investigate for which metric spaces the performance of distance labeling and of -embeddings differ, and how significant can this difference be. Recall that a distan…
cs.CG2019★ 1 cited
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces
Lee-Ad Gottlieb, Yair Bartal
We give an algorithm that computes a -approximate Steiner forest in near-linear time . This is a dramatic improvement upon the…