Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization

Componentwise boosting (CWB), also known as model-based boosting, is a variant of gradient boosting that builds on additive models as base learners to ensure interpretability. CWB is thus often used in research areas where models are employed as tools to explain relationships in data. One downside o... View More