14 citations · 40 across the 12 of their papers we have counts for
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cs.DS2018
Batch Sparse Recovery, or How to Leverage the Average Sparsity
Alexandr Andoni, Lior Kamma, Robert Krauthgamer +1
We introduce a \emph{batch} version of sparse recovery, where the goal is to report a sequence of vectors that estimate unknown signals $A_1,\ld…
cs.LG2018★ 14 cited
Fully Understanding the Hashing Trick
Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen
Feature hashing, also known as {\em the hashing trick}, introduced by Weinberger et al. (2009), is one of the key techniques used in scaling-up machine learning algorithms. Loosely…
cs.DS2018
Nearly Optimal Time Bounds for kPath in Hypergraphs
Lior Kamma, Ohad Trabelsi
We give almost tight conditional lower bounds on the running time of the kHyperPath problem. Given an -uniform hypergraph for some integer , kHyperPath seeks a tight path of…