22 citations · 42 across the 9 of their papers we have counts for
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cs.IT2020★ 22 cited
Universality Laws for High-Dimensional Learning with Random Features
Hong Hu, Yue M. Lu
We prove a universality theorem for learning with random features. Our result shows that, in terms of training and generalization errors, a random feature model with a nonlinear ac…
cs.IT2020★ 1 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.IT2019
SLOPE for Sparse Linear Regression:Asymptotics and Optimal Regularization
Hong Hu, Yue M. Lu
In sparse linear regression, the SLOPE estimator generalizes LASSO by penalizing different coordinates of the estimate according to their magnitudes. In this paper, we present a pr…