activity
20182026
most citedHigh Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 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

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…

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.ME2018

Sufficient Dimension Reduction for Classification

Xin Chen, Jingjing Wu, Zhigang Yao +1

We propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired…

stat.ME2018★ 2 cited

High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

Jia Zhang, Xin Chen, Wang Zhou

Sliced inverse regression (SIR) is the most widely-used sufficient dimension reduction method due to its simplicity, generality and computational efficiency. However, when the dist…