Escaping the Curse of Dimensionality with a Tree-based Regressor

@inproceedings{Kpotufe2009EscapingTC,
  title={Escaping the Curse of Dimensionality with a Tree-based Regressor},
  author={Samory Kpotufe},
  booktitle={COLT},
  year={2009}
}
We present the first tree-based regressor whose convergence rate depends only on the intrinsic dimension of the data, namely its Assouad dimension. The regressor uses the RPtree partitioning procedure, a simple randomized variant of k-d trees. 
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