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stat.ML2018★ 1 cited
A convex formulation for high-dimensional sparse sliced inverse regression
Kean Ming Tan, Zhaoran Wang, Tong Zhang +2
Sliced inverse regression is a popular tool for sufficient dimension reduction, which replaces covariates with a minimal set of their linear combinations without loss of informatio…
stat.ML2018
Efficient, Certifiably Optimal Clustering with Applications to Latent Variable Graphical Models
Carson Eisenach, Han Liu
Motivated by the task of clustering either variables or points into groups, we investigate efficient algorithms to solve the Peng-Wei (P-W) -means semi-definite prog…