Search Results - "She, Yiyuan"

Why Deep Learning Works: A Manifold Disentanglement Perspective by Brahma, Pratik Prabhanjan, Dapeng Wu, Yiyuan She

“…Deep hierarchical representations of the data have been found out to provide better informative features for several machine learning applications. In…”
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Feature Selection with Annealing for Computer Vision and Big Data Learning by Barbu, Adrian, Yiyuan She, Liangjing Ding, Gramajo, Gary

“…Many computer vision and medical imaging problems are faced with learning from large-scale datasets, with millions of observations and features. In this paper…”
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Outlier Detection Using Nonconvex Penalized Regression by She, Yiyuan, Owen, Art B.

“…This article studies the outlier detection problem from the standpoint of penalized regression. In the regression model, we add one mean shift parameter for…”
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The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms by Bunea, Florentina, Lederer, Johannes, Yiyuan She

“…We introduce and study the group square-root lasso (GSRL) method for estimation in high dimensional sparse regression models with group structure. The new…”
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A comparison of typical ℓp minimization algorithms by Lyu, Qin, Lin, Zhouchen, She, Yiyuan, Zhang, Chao

“…Recently, compressed sensing has been widely applied to various areas such as signal processing, machine learning, and pattern recognition. To find the sparse…”
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OPTIMAL SELECTION OF REDUCED RANK ESTIMATORS OF HIGH-DIMENSIONAL MATRICES by Bunea, Florentina, She, Yiyuan, Wegkamp, Marten H.

“…We introduce a new criterion, the Rank Selection Criterion (RSC), for selecting the optimal reduced rank estimator of the coefficient matrix in multivariate…”
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JOINT VARIABLE AND RANK SELECTION FOR PARSIMONIOUS ESTIMATION OF HIGH-DIMENSIONAL MATRICES by Bunea, Florentina, She, Yiyuan, Wegkamp, Marten H.

“…We propose dimension reduction methods for sparse, high-dimensional multivariate response regression models. Both the number of responses and that of the…”
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Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection by She, Yiyuan, Wang, Jiangping, Li, Huanghuang, Wu, Dapeng

“…Recently, sparsity-based algorithms are proposed for super-resolution spectrum estimation. However, to achieve adequately high resolution in real-world signal…”
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Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems by She, Yiyuan, He, Yuejia, Li, Shijie, Wu, Dapeng

“…This paper studies large-scale dynamical networks where the current state of the system is a linear transformation of the previous state, contaminated by a…”
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Learning Topology and Dynamics of Large Recurrent Neural Networks by She, Yiyuan, He, Yuejia, Wu, Dapeng

“…Large-scale recurrent networks have drawn increasing attention recently because of their capabilities in modeling a large variety of real-world phenomena and…”
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Matrix Factorizations for Parallel Integer Transformation by Yiyuan She, Pengwei Hao, Paker, Y.

“…Integer mapping is critical for lossless source coding and has been used for multicomponent image compression in the new international image compression…”
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Resolving deconvolution ambiguity in gene alternative splicing by She, Yiyuan, Hubbell, Earl, Wang, Hui

“…For many gene structures it is impossible to resolve intensity data uniquely to establish abundances of splice variants. This was empirically noted by Wang et…”
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Selective factor extraction in high dimensions by SHE, YIYUAN

“…This paper studies simultaneous feature selection and extraction in supervised and unsupervised learning. We propose and investigate selective reduced rank…”
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An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors by She, Yiyuan

“…High-dimensional data pose challenges in statistical learning and modeling. Sometimes the predictors can be naturally grouped where pursuing the between-group…”
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Sparse regression with exact clustering by She, Yiyuan

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Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies by She, Yiyuan, Wang, Zhifeng, Shen, Jiahui

“…Outliers widely occur in big-data applications and may severely affect statistical estimation and inference. In this article, a framework of outlier-resistant…”
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Thresholding-based iterative selection procedures for model selection and shrinkage by She, Yiyuan

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Slow Kill for Big Data Learning by She, Yiyuan, Shen, Jiahui, Barbu, Adrian

“…Big-data applications often involve a vast number of observations and features, creating new challenges for variable selection and parameter estimation. This…”
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Group Regularized Estimation Under Structural Hierarchy by She, Yiyuan, Wang, Zhifeng, Jiang, He

“…Variable selection for models including interactions between explanatory variables often needs to obey certain hierarchical constraints. Weak or strong…”
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Iterative Proportional Scaling Revisited: A Modern Optimization Perspective by She, Yiyuan, Tang, Shao

“…This article revisits the classic iterative proportional scaling (IPS) from a modern optimization perspective. In contrast to the criticisms made in the…”
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