39 citations · 41 across the 5 of their papers we have counts for
6 papers
Adaptable Regularized CCA Tests for Independence of High-Dimensional Random Vectors
Haoran Li
We propose an adaptable testing procedure for independence between two high-dimensional random vectors. The method incorporates ridge regularization and principal component-based d…
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Lechen Feng, Haoran Li, Lucky Li +1
This paper investigates the partial linear model by Least Absolute Deviation (LAD) regression. We parameterize the nonparametric term using Deep Neural Networks (DNNs) and formulat…
The Primacy of Magnitude in Low-Rank Adaptation
Zicheng Zhang, Haoran Li, Yifeng Zhang +5
Low-Rank Adaptation (LoRA) offers a parameter-efficient paradigm for tuning large models. While recent spectral initialization methods improve convergence and performance over the…
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li, Jingfeng Wu, Vladimir Braverman
We consider a continual learning (CL) problem with two linear regression tasks in the fixed design setting, where the feature vectors are assumed fixed and the labels are assumed t…
High-dimensional general linear hypothesis tests via non-linear spectral shrinkage
Haoran Li, Alexander Aue, Debashis Paul
We are interested in testing general linear hypotheses in a high-dimensional multivariate linear regression model. The framework includes many well-studied problems such as two-sam…
An adaptable generalization of Hotelling's test in high dimension
Haoran Li, Alexander Aue, Debashis Paul +2
We propose a two-sample test for detecting the difference between mean vectors in a high-dimensional regime based on a ridge-regularized Hotelling's . To choose the regulariza…