22 citations · 84 across the 31 of their papers we have counts for
6 papers · 1 filter
A provable two-stage algorithm for penalized hazards regression
Jianqing Fan, Wenyan Gong, Qiang Sun
From an optimizer's perspective, achieving the global optimum for a general nonconvex problem is often provably NP-hard using the classical worst-case analysis. In the case of Cox'…
Distributed Adaptive Huber Regression
Jiyu Luo, Qiang Sun, Wenxin Zhou
Distributed data naturally arise in scenarios involving multiple sources of observations, each stored at a different location. Directly pooling all the data together is often prohi…
Do we need to estimate the variance in robust mean estimation?
Qiang Sun
In this paper, we propose self-tuned robust estimators for estimating the mean of heavy-tailed distributions, which refer to distributions with only finite variances. Our approach…
Adaptive Capped Least Squares
Qiang Sun, Rui Mao, Wen-Xin Zhou
This paper proposes the capped least squares regression with an adaptive resistance parameter, hence the name, adaptive capped least squares regression. The key observation is, by…
Restricted Riemannian geometry for positive semidefinite matrices
A. Martina Neuman, Yuying Xie, Qiang Sun
We introduce the manifold of {\it restricted} positive semidefinite matrices of fixed rank , denoted . The manifold itself is an open and dense submanifo…
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors
Xinyi Zhang, Qiang Sun, Dehan Kong
We propose a supervised principal component regression method for relating functional responses with high dimensional predictors. Unlike the conventional principal component analys…