35 citations · 196 across the 27 of their papers we have counts for
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math.OC2021
Global Convergence of Inexact Augmented Lagrangian Method for Zero-One Composite Optimization
Penghe Zhang, Naihua Xiu
We consider the problem of minimizing the sum of a smooth function and a composition of a zero-one loss function with a linear operator, namely zero-one composite optimization prob…
math.OC2021★ 25 cited
Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization
Shenglong Zhou, Lili Pan, Naihua Xiu +1
It has been widely recognized that the 0/1 loss function is one of the most natural choices for modelling classification errors, and it has a wide range of applications including s…
math.OC2021★ 30 cited
Computing One-bit Compressive Sensing via Double-Sparsity Constrained Optimization
Shenglong Zhou, Ziyan Luo, Naihua Xiu +1
One-bit compressive sensing gains its popularity in signal processing and communications due to its low storage costs and low hardware complexity. However, it has been a challengin…