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20152022
most citedA Precise Performance Analysis of Learning with Random Features

22 citations · 95 across the 14 of their papers we have counts for

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10 papers · 1 filter

cs.IT2021

Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles

Yue M. Lu

This paper proposes a new algorithm, named Householder Dice (HD), for simulating dynamics on dense random matrix ensembles with translation-invariant properties. Examples include t…

cs.IT202022 cited

A Precise Performance Analysis of Learning with Random Features

Oussama Dhifallah, Yue M. Lu

We study the problem of learning an unknown function using random feature models. Our main contribution is an exact asymptotic analysis of such learning problems with Gaussian data…

cs.IT20201 cited

The Limiting Poisson Law of Massive MIMO Detection with Box Relaxation

Hong Hu, Yue M. Lu

Estimating a binary vector from noisy linear measurements is a prototypical problem for MIMO systems. A popular algorithm, called the box-relaxation decoder, estimates the target s…

cs.IT2018

Optimal Spectral Initialization for Signal Recovery with Applications to Phase Retrieval

Wangyu Luo, Wael Alghamdi, Yue M. Lu

We present the optimal design of a spectral method widely used to initialize nonconvex optimization algorithms for solving phase retrieval and other signal recovery problems. Our w…

cs.IT2018

Super Resolution Phase Retrieval for Sparse Signals

Gilles Baechler, Miranda Kreković, Juri Ranieri +3

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attemp…

cs.IT2018

Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms

Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu

We study algorithms for solving quadratic systems of equations based on optimization methods over polytopes. Our work is inspired by a recently proposed convex formulation of the p…