Universal consistency and minimax rates for online Mondrian Forests

Mourtada, Jaouad, Gaïffas, Stéphane, Scornet, Erwan

Neural Information Processing Systems 

We establish the consistency of an algorithm of Mondrian Forests [LRT14, LRT16], a randomized classification algorithm that can be implemented online. First, we amend the original Mondrian Forest algorithm proposed in [LRT14], that considers a fixed lifetime parameter. Indeed, the fact that this parameter is fixed hinders the statistical consistency of the original procedure.

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