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Stephan Lorenzen

1 accepted papers

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…