61 citations · 358 across the 40 of their papers we have counts for
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stat.ML2017★ 3 cited
Monte Carlo approximation certificates for k-means clustering
Dustin G. Mixon, Soledad Villar
Efficient algorithms for -means clustering frequently converge to suboptimal partitions, and given a partition, it is difficult to detect -means optimality. In this paper, we…
stat.CO2017
Projected Power Iteration for Network Alignment
Efe Onaran, Soledad Villar
The network alignment problem asks for the best correspondence between two given graphs, so that the largest possible number of edges are matched. This problem appears in many scie…
stat.ML2017★ 14 cited
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex Nowak, Soledad Villar, Afonso S. Bandeira +1
Inverse problems correspond to a certain type of optimization problems formulated over appropriate input distributions. Recently, there has been a growing interest in understanding…