Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection

ArXi:2603.23658v1 Announce Type: new Gradient boosting, a method of building additive ensembles from weak learners, has established itself as a practical and theoretically-motivated approach to approximate functions, especially using decision tree weak learners. Comparable methods for smooth parametric learners, such as neural networks, remain less developed in both