research
∙
06/24/2023
Post-Selection Inference for the Cox Model with Interval-Censored Data
We develop a post-selection inference method for the Cox proportional ha...
share
research
∙
11/11/2022
Signal-to-noise ratio aware minimaxity and higher-order asymptotics
Since its development, the minimax framework has been one of the corner ...
research
∙
09/30/2022
Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
Unsupervised learning has been widely used in many real-world applicatio...
research
∙
08/16/2022
Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education
International large-scale assessments (ILSAs) play an important role in ...
research
∙
12/07/2020
Spectral clustering via adaptive layer aggregation for multi-layer networks
One of the fundamental problems in network analysis is detecting communi...
research
∙
09/23/2019
Computing the degrees of freedom of rank-regularized estimators and cousins
Estimating a low rank matrix from its linear measurements is a problem o...
research
∙
09/20/2019
Does SLOPE outperform bridge regression?
A recently proposed SLOPE estimator (arXiv:1407.3824) has been shown to ...
research
∙
08/20/2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix
Motivated by portfolio allocation and linear discriminant analysis, we c...
research
∙
01/24/2018
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms
In this paper, we study the popularly dubbed matrix completion problem, ...
research
∙
12/27/2017
