183 citations · 469 across the 31 of their papers we have counts for
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Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning
Yiyuan She, Zhifeng Wang, Jiuwu Jin
Modern statistical applications often involve minimizing an objective function that may be nonsmooth and/or nonconvex. This paper focuses on a broad Bregman-surrogate algorithm fra…
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction
Yiyuan She, Jiahui Shen, Chao Zhang
Modern high-dimensional methods often adopt the "bet on sparsity" principle, while in supervised multivariate learning statisticians may face "dense" problems with a large number o…
On Generalization and Computation of Tukey's Depth: Part II
Yiyuan She, Shao Tang, Jingze Liu
This paper studies how to generalize Tukey's depth to problems defined in a restricted space that may be curved or have boundaries, and to problems with a nondifferentiable objecti…
On Generalization and Computation of Tukey's Depth: Part I
Yiyuan She, Shao Tang, Jingze Liu
Tukey's depth offers a powerful tool for nonparametric inference and estimation, but also encounters serious computational and methodological difficulties in modern statistical dat…
Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies
Yiyuan She, Zhifeng Wang, Jiahui Shen
Outliers widely occur in big-data applications and may severely affect statistical estimation and inference. In this paper, a framework of outlier-resistant estimation is introduce…