activity
20172026
most citedGeneralized Linear Model for Gamma Distributed Variables via Elastic Net Regularization

10 citations · 25 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CE2026

Generative AI enables human-centered design of sustainable plant-based foods

Vahidullah Tac, Ellen Kuhl

Dietary transitions away from animal-based meat could reduce food-related environmental burdens, but plant-based alternatives must compete on flavor, texture, and overall liking. H…

stat.ME2023★ 1 cited

Differentially private sliced inverse regression in the federated paradigm

Shuaida He, Jiarui Zhang, Xin Chen

Sliced inverse regression (SIR), which includes linear discriminant analysis (LDA) as a special case, is a popular and powerful dimension reduction tool. In this article, we extend…

stat.ME2023

Optimal Sparse Sliced Inverse Regression via Random Projection

Jia Zhang, Runxiong Wu, Xin Chen

We propose a novel sparse sliced inverse regression method based on random projections in a large small setting. Embedded in a generalized eigenvalue framework, the propose…

math.ST2023★ 2 cited

Sketched Ridgeless Linear Regression: The Role of Downsampling

Xin Chen, Yicheng Zeng, Siyue Yang +1

Overparametrization often helps improve the generalization performance. This paper presents a dual view of overparametrization suggesting that downsampling may also help generalize…

stat.ME2021

High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion

Runxiong Wu, Chang Deng, Xin Chen

Hilbert-Schmidt Independence Criterion (HSIC) has recently been used in the field of single-index models to estimate the directions. Compared with some other well-established metho…

stat.ML2019★ 9 cited

MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection

Runxiong Wu, Xin Chen

Sufficient dimension reduction (SDR) using distance covariance (DCOV) was recently proposed as an approach to dimension-reduction problems. Compared with other SDR methods, it is m…