A convex formulation for high-dimensional sparse sliced inverse
regression

A convex formulation for high-dimensional sparse sliced inverse regression

17 September 2018

Tong Zhang

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Papers citing "A convex formulation for high-dimensional sparse sliced inverse regression"

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Title
Nonlinear Multiple Response Regression and Learning of Latent Spaces Ye Tian Sanyou Wu Long Feng 65 0 0 27 Mar 2025
Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data Rong Wu Ziqi Chen Gen Li Hai Shu CML 94 0 0 26 Feb 2025
Differentially private sliced inverse regression in the federated paradigm Shuai He Jiawei Zhang Xin Chen FedML 78 1 0 10 Jun 2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression Wenquan Cui Yue Zhao Jianjun Xu Haoyang Cheng FedML 38 1 0 23 Jan 2023
Certifiably Optimal Sparse Sufficient Dimension Reduction Lei Yan Xin Chen 45 1 0 15 Dec 2020
A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems K. O. Olorede W. B. Yahya 23 1 0 28 Sep 2019
Bayesian inverse regression for dimension reduction with small datasets Xin Cai Guang Lin Jinglai Li 46 1 0 19 Jun 2019
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow Kean Ming Tan Zhaoran Wang Han Liu Tong Zhang 69 58 0 29 Apr 2016