212 citations · 1.4k across the 61 of their papers we have counts for
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cs.IT2020
Tensor estimation with structured priors
Clément Luneau, Nicolas Macris
We consider rank-one symmetric tensor estimation when the tensor is corrupted by Gaussian noise and the spike forming the tensor is a structured signal coming from a generalized li…
cs.IT2020
Information theoretic limits of learning a sparse rule
Clément Luneau, Jean Barbier, Nicolas Macris
We consider generalized linear models in regimes where the number of nonzero components of the signal and accessible data points are sublinear with respect to the size of the signa…
cs.IT2020★ 16 cited
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
Jean Barbier, Nicolas Macris, Cynthia Rush
We determine statistical and computational limits for estimation of a rank-one matrix (the spike) corrupted by an additive gaussian noise matrix, in a sparse limit, where the under…