Review for NeurIPS paper: Field-wise Learning for Multi-field Categorical Data

Neural Information Processing Systems 

Summary and Contributions: The authors present an approach for modelling categorical variables. Each categorical column in a table is termed'field' by the authors. The main idea appears to be based on splitting the regularisation term for each'field'. The authors present a thorough derivation of their method. A linear and a nonlinear model are developed.