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04/11/2021
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
Multi-task learning is increasingly used to investigate the association ...
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03/17/2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
The sparse factorization of a large matrix is fundamental in modern stat...
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10/07/2017
Nonsparse learning with latent variables
As a popular tool for producing meaningful and interpretable models, lar...
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05/11/2016
The constrained Dantzig selector with enhanced consistency
The Dantzig selector has received popularity for many applications such ...
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05/11/2016
High dimensional thresholded regression and shrinkage effect
High-dimensional sparse modeling via regularization provides a powerful ...
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01/05/2015