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03/10/2021
Mean-field methods and algorithmic perspectives for high-dimensional machine learning
The main difficulty that arises in the analysis of most machine learning...
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06/11/2020
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization
We consider a commonly studied supervised classification of a synthetic ...
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04/03/2020
TRAMP: Compositional Inference with TRee Approximate Message Passing
We introduce tramp, standing for TRee Approximate Message Passing, a pyt...
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12/05/2019
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
Statistical learning theory provides bounds of the generalization gap, u...
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12/04/2019
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
We consider the problem of compressed sensing and of (real-valued) phase...
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05/29/2019
The spiked matrix model with generative priors
Using a low-dimensional parametrization of signals is a generic and powe...
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06/14/2018