Researchers from Nanjing Audit University Report Details of New Studies and Findings in the Area of Machine Learning (Debiased Distributed Learning for Sparse Partial Linear Models In High Dimensions)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Although various distributed machine learning schemes have been proposed recently for purely linear models and fully nonparametric models, little attention has been paid to distributed optimization for semi-parametric models with multiple structures (e.g. sparsity, linearity and nonlinearity). To address these issues, the current paper proposes a new communication-efficient distributed learning algorithm for sparse partially linear models with an increasing number of features.”