4. Computer Science
  5. Learning

Yiyuan She

Computer Science – Learning

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An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors

Statistics – Machine Learning
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Approximating Higher-Order Distances Using Random Projections

Computer Science – Learning
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Joint variable and rank selection for parsimonious estimation of high dimensional matrices

Mathematics – Statistics Theory
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Optimal selection of reduced rank estimators of high-dimensional matrices

Mathematics – Statistics Theory
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Outlier Detection Using Nonconvex Penalized Regression

Statistics – Methodology
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