A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery

28 March 2016

Papers citing "A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery"

5 / 5 papers shown

Title
Challenges of cellwise outliers Jakob Raymaekers P. Rousseeuw 8 10 0 04 Feb 2023
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 8 4 0 24 Aug 2022
Robust high dimensional factor models with applications to statistical machine learning Jianqing Fan Kaizheng Wang Yiqiao Zhong Ziwei Zhu 11 53 0 12 Aug 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 12 219 0 19 Feb 2018
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 83 194 0 22 May 2012