5 citations · 6 across the 2 of their papers we have counts for
6 papers
-norm constrained multi-block sparse canonical correlation analysis via proximal gradient descent
Leying Guan
Multi-block CCA constructs linear relationships explaining coherent variations across multiple blocks of data. We view the multi-block CCA problem as finding leading generalized ei…
Conformal prediction with localization
Leying Guan
We propose a new method called localized conformal prediction, where we can perform conformal inference using only a local region around a new test sample to construct its confiden…
Prediction and outlier detection in classification problems
Leying Guan, Rob Tibshirani
We consider the multi-class classification problem when the training data and the out-of-sample test data may have different distributions and propose a method called BCOPS (balanc…
Detecting strong signals in gene perturbation experiments: An adaptive approach with power guarantee and FDR control
Leying Guan, Xi Chen, Wing Hung Wong
The perturbation of a transcription factor should affect the expression levels of its direct targets. However, not all genes showing changes in expression are direct targets. To in…
Post model-fitting exploration via a "Next-Door" analysis
Leying Guan, Robert Tibshirani
We propose a simple method for evaluating the model that has been chosen by an adaptive regression procedure, our main focus being the lasso. This procedure deletes each chosen pre…
Test Error Estimation after Model Selection Using Validation Error
Leying Guan
When performing supervised learning with the model selected using validation error from sample splitting and cross validation, the minimum value of the validation error can be bias…