Reducing Learner Redundancy in Boosting via Residual Orthogonalization

Ye Su, Jipeng Guo, Yong Liu +5

While sequential residual fitting is the bedrock of standard boosting frameworks, it inherently breeds learner redundancy by repeatedly revisiting correlated error components. To a…