12 citations · 33 across the 9 of their papers we have counts for
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cs.DC2020
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis
Xi Chen, Jason D. Lee, He Li +1
The growing size of modern data sets brings many challenges to the existing statistical estimation approaches, which calls for new distributed methodologies. This paper studies dis…
stat.ML2020
Dimension Independent Generalization Error by Stochastic Gradient Descent
Xi Chen, Qiang Liu, Xin T. Tong
One classical canon of statistics is that large models are prone to overfitting, and model selection procedures are necessary for high dimensional data. However, many overparameter…
stat.ME2020
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
Xi Chen, Ye Luo, Martin Spindler
In this paper we develop a data-driven smoothing technique for high-dimensional and non-linear panel data models. We allow for individual specific (non-linear) functions and estima…