168 citations · 234 across the 10 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.ML2021★ 1 cited
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
Mathieu Even, Laurent Massoulié
Dimension is an inherent bottleneck to some modern learning tasks, where optimization methods suffer from the size of the data. In this paper, we study non-isotropic distributions…
stat.ML2021★ 13 cited
Impossibility of Partial Recovery in the Graph Alignment Problem
Luca Ganassali, Laurent Massoulié, Marc Lelarge
Random graph alignment refers to recovering the underlying vertex correspondence between two random graphs with correlated edges. This can be viewed as an average-case and noisy ve…