1.2k citations · 3.4k across the 72 of their papers we have counts for
Showing 2015 · cs.SIShow all
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cs.SI2015★ 5 cited
SnapVX: A Network-Based Convex Optimization Solver
David Hallac, Christopher Wong, Steven Diamond +4
SnapVX is a high-performance Python solver for convex optimization problems defined on networks. For these problems, it provides a fast and scalable solution with guaranteed global…
cs.SI2015★ 245 cited
Network Lasso: Clustering and Optimization in Large Graphs
David Hallac, Jure Leskovec, Stephen Boyd
Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, gen…