1 citations · 2 across the 7 of their papers we have counts for
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High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro +1
We investigate the high-dimensional properties of robust regression estimators in the presence of heavy-tailed contamination of both the covariates and response functions. In parti…
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard, Bruno Loureiro, Florent Krzakala +1
We consider the phase retrieval problem of reconstructing a -dimensional real or complex signal from (possibly noisy) observations $Y_μ= | \sum_{i=1}^n…
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
Benjamin Aubin, Bruno Loureiro, Antoine Baker +2
We consider the problem of compressed sensing and of (real-valued) phase retrieval with random measurement matrix. We derive sharp asymptotics for the information-theoretically opt…
The spiked matrix model with generative priors
Benjamin Aubin, Bruno Loureiro, Antoine Maillard +2
Using a low-dimensional parametrization of signals is a generic and powerful way to enhance performance in signal processing and statistical inference. A very popular and widely ex…