Publications

@article{nokey,

title = {Conditional Regression for the Nonlinear Single-Variable Model},

author = {Yantao Wu and Mauro Maggioni},

url = {https://doi.org/10.48550/arXiv.2411.09686},

year  = {2024},

date = {2024-11-14},

urldate = {2024-11-14},

journal = {arXiv},

keywords = {Machine learning, regression, statistics, supervised learning},

pubstate = {published},

tppubtype = {article}

}

@article{LiaoMaggioniVigogna:MultiscaleRegressionManifolds,

title = {Multiscale regression on intrinsically low-dimensional sets},

author = {Wenjing Liao and Mauro Maggioni and Stefano Vigogna},

url = {https://arxiv.org/abs/2101.05119v1

http://www.aimspress.com/aimspress-data/mine/2022/4/PDF/mine-04-04-028.pdf},

doi = {DOI:10.3934/mine.2022028},

year  = {2021},

date = {2021-08-24},

urldate = {2021-08-24},

journal = {Mathematics in Engineering},

volume = {4},

number = {4},

keywords = {Machine learning, Manifold Learning, statistics, supervised learning},

pubstate = {published},

tppubtype = {article}

}

@article{SparseObliqueRandomerForestsb,

title = {Sparse Projection Oblique Randomer Forests},

author = {Tyler M Tomita and James Browne and Cencheng Shen and Jaewon Chung and Jesse L Patsolic and Benjamin Falk and Carey E Priebe and Jason Yim and Randal Burns and Mauro Maggioni and Joshua T Vogelstein},

url = {http://jmlr.org/papers/v21/18-664.html},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Machine Learning Research},

volume = {21},

number = {104},

pages = {1-39},

keywords = {Machine learning, statistics, supervised learning},

pubstate = {published},

tppubtype = {article}

}

@article{SparseObliqueRandomerForests,

title = {Sparse Projection Oblique Randomer Forests},

author = {James Tomita Tyler M. Browne and Cencheng Shen and Jaewon Chung and Jesse L Patsolic and Benjamin Falk and Carey E Yim Jason Priebe and Mauro Burns RandalMaggioni and Joshua T Vogelstein},

url = {https://arxiv.org/pdf/1506.03410.pdf},

year  = {2019},

date = {2019-01-01},

journal = {Journ. Mach. Learn. Res.},

keywords = {Machine learning, statistics, supervised learning},

pubstate = {published},

tppubtype = {article}

}

@article{Tomita2017b,

title = {Randomer Forests},

author = {Tyler M Tomita and Mauro Maggioni and Joshua T Vogelstein},

url = {https://arxiv.org/abs/1506.03410},

year  = {2015},

date = {2015-01-01},

journal = {arXiv preprint arXiv:1506.03410},

keywords = {Machine learning, statistics, supervised learning},

pubstate = {published},

tppubtype = {article}

}