16 citations · 35 across the 7 of their papers we have counts for
10 papers
Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs
Lucy L. Gao, Jane J. Ye, Haian Yin +2
Bilevel programming has emerged as a valuable tool for hyperparameter selection, a central concern in machine learning. In a recent study by Ye et al. (2023), a value function-base…
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani +3
Our goal is to develop a general strategy to decompose a random variable into multiple independent random variables, without sacrificing any information about unknown parameter…
Inference after latent variable estimation for single-cell RNA sequencing data
Anna Neufeld, Lucy L. Gao, Joshua Popp +2
In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell type or pseudotime, rep…
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy Gao, Jane J. Ye, Haian Yin +2
Gradient-based optimization methods for hyperparameter tuning guarantee theoretical convergence to stationary solutions when for fixed upper-level variable values, the lower level…
Tree-Values: selective inference for regression trees
Anna C. Neufeld, Lucy L. Gao, Daniela M. Witten
We consider conducting inference on the output of the Classification and Regression Tree (CART) [Breiman et al., 1984] algorithm. A naive approach to inference that does not accoun…
Selective Inference for Hierarchical Clustering
Lucy L. Gao, Jacob Bien, Daniela Witten
Classical tests for a difference in means control the type I error rate when the groups are defined a priori. However, when the groups are instead defined via clustering, then appl…
R-optimal designs for multi-response regression models with multi-factors
Pengqi Liu, Lucy Gao, Julie Zhou
We investigate R-optimal designs for multi-response regression models with multi-factors, where the random errors in these models are correlated. Several theoretical results are de…
Minimax D-optimal designs for multivariate regression models with multi-factors
Lucy L. Gao, Julie Zhou
In multi-response regression models, the error covariance matrix is never known in practice. Thus, there is a need for optimal designs which are robust against possible misspecific…
Testing for Association in Multi-View Network Data
Lucy L. Gao, Daniela Witten, Jacob Bien
In this paper, we consider data consisting of multiple networks, each comprised of a different edge set on a common set of nodes. Many models have been proposed for the analysis of…
Are Clusterings of Multiple Data Views Independent?
Lucy L. Gao, Jacob Bien, Daniela Witten
In the Pioneer 100 (P100) Wellness Project (Price and others, 2017), multiple types of data are collected on a single set of healthy participants at multiple timepoints in order to…