7 citations · 12 across the 8 of their papers we have counts for
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stat.ML2020★ 7 cited
Exact and Approximation Algorithms for Sparse PCA
Yongchun Li, Weijun Xie
Sparse PCA (SPCA) is a fundamental model in machine learning and data analytics, which has witnessed a variety of application areas such as finance, manufacturing, biology, healthc…
stat.ML2020★ 4 cited
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees
Yongchun Li, Weijun Xie
This paper studies a classic maximum entropy sampling problem (MESP), which aims to select the most informative principal submatrix of a prespecified size from a covariance matrix.…