53 citations · 76 across the 3 of their papers we have counts for
3 papers
stat.ML2020★ 3 cited
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
Kun Chen, Ruipeng Dong, Wanwan Xu +1
The sparse factorization of a large matrix is fundamental in modern statistical learning. In particular, the sparse singular value decomposition and its variants have been utilized…
cond-mat.stat-mech2019★ 53 cited
High-precision Monte Carlo study of several models in the three-dimensional U(1) universality class
Wanwan Xu, Yanan Sun, Jian-Ping Lv +1
We present a worm-type Monte Carlo study of several typical models in the three-dimensional (3D) U(1) universality class, which include the classical 3D XY model in the directed fl…
cs.LG2018★ 20 cited
Boosted Sparse and Low-Rank Tensor Regression
Lifang He, Kun Chen, Wanwan Xu +2
We propose a sparse and low-rank tensor regression model to relate a univariate outcome to a feature tensor, in which each unit-rank tensor from the CP decomposition of the coeffic…