2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
NeurIPS 2020spotlight
We present a novel analysis of the expected risk of weighted majority vote in multiclass classification. The analysis takes correlation of predictions by ensemble members into account and provides a bound that is amenable to efficient minimization, which yields improved weighting for the majority vo…