2 papers
cs.LG2021
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
Ajim Uddin, Dan Zhou, Xinyuan Tao +2
Firms earning prediction plays a vital role in investment decisions, dividends expectation, and share price. It often involves multiple tensor-compatible datasets with non-linear m…
cs.LG2019
A Fast Sampling Gradient Tree Boosting Framework
Daniel Chao Zhou, Zhongming Jin, Tong Zhang
As an adaptive, interpretable, robust, and accurate meta-algorithm for arbitrary differentiable loss functions, gradient tree boosting is one of the most popular machine learning t…