56 citations · 205 across the 38 of their papers we have counts for
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stat.ML2017★ 23 cited
On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
Tensor train (TT) decomposition provides a space-efficient representation for higher-order tensors. Despite its advantage, we face two crucial limitations when we apply the TT deco…
stat.ML2017
Consistent Nonparametric Different-Feature Selection via the Sparsest -Subgraph Problem
Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa +4
Two-sample feature selection is the problem of finding features that describe a difference between two probability distributions, which is a ubiquitous problem in both scientific a…