2.5k citations · 10k across the 171 of their papers we have counts for
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stat.ML2016★ 59 cited
The Landscape of Empirical Risk for Non-convex Losses
Song Mei, Yu Bai, Andrea Montanari
Most high-dimensional estimation and prediction methods propose to minimize a cost function (empirical risk) that is written as a sum of losses associated to each data point. In th…
stat.ML2016★ 8 cited
Performance of a community detection algorithm based on semidefinite programming
Adel Javanmard, Andrea Montanari, Federico Ricci-Tersenghi
The problem of detecting communities in a graph is maybe one the most studied inference problems, given its simplicity and widespread diffusion among several disciplines. A very co…