74 citations · 461 across the 38 of their papers we have counts for
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stat.ME2017★ 51 cited
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification
Jean Feng, Noah Simon
Neural networks are usually not the tool of choice for nonparametric high-dimensional problems where the number of input features is much larger than the number of observations. Th…
stat.ME2017
Rank conditional coverage and confidence intervals in high dimensional problems
Jean Morrison, Noah Simon
Confidence interval procedures used in low dimensional settings are often inappropriate for high dimensional applications. When a large number of parameters are estimated, marginal…