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stat.ML2020
Robust Finite Mixture Regression for Heterogeneous Targets
Jian Liang, Kun Chen, Ming Lin +2
Finite Mixture Regression (FMR) refers to the mixture modeling scheme which learns multiple regression models from the training data set. Each of them is in charge of a subset. FMR…
stat.ML2020
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…