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@article{friedman2001greedy,
title={Greedy function approximation: a gradient boosting machine},
author={Friedman, Jerome H},
journal={Annals of statistics},
pages={1189--1232},
year={2001},
publisher={JSTOR}
}
@book{axler2020measure,
title={Measure, integration \& real analysis},
author={Axler, Sheldon},
year={2020},
publisher={Springer Nature}
}
@inproceedings{freund1996experiments,
title={Experiments with a new boosting algorithm},
author={Freund, Yoav and Schapire, Robert E and others},
booktitle={icml},
volume={96},
pages={148--156},
year={1996},
organization={Citeseer}
}
@article{breiman2001random,
title={Random forests},
author={Breiman, Leo},
journal={Machine learning},
volume={45},
pages={5--32},
year={2001},
publisher={Springer}
}
@article{chen2015xgboost,
title={Xgboost: extreme gradient boosting},
author={Chen, Tianqi and He, Tong and Benesty, Michael and Khotilovich, Vadim and Tang, Yuan and Cho, Hyunsu and Chen, Kailong and Mitchell, Rory and Cano, Ignacio and Zhou, Tianyi and others},
journal={R package version 0.4-2},
volume={1},
number={4},
pages={1--4},
year={2015}
}
@article{ke2017lightgbm,
title={Lightgbm: A highly efficient gradient boosting decision tree},
author={Ke, Guolin and Meng, Qi and Finley, Thomas and Wang, Taifeng and Chen, Wei and Ma, Weidong and Ye, Qiwei and Liu, Tie-Yan},
journal={Advances in neural information processing systems},
volume={30},
year={2017}
}
@article{sigrist2021ktboost,
title={KTBoost: Combined kernel and tree boosting},
author={Sigrist, Fabio},
journal={Neural Processing Letters},
volume={53},
number={2},
pages={1147--1160},
year={2021},
publisher={Springer}
}
@article{hoffmann2004combining,
title={Combining boosting and evolutionary algorithms for learning of fuzzy classification rules},
author={Hoffmann, Frank},
journal={Fuzzy Sets and Systems},
volume={141},
number={1},
pages={47--58},
year={2004},
publisher={Elsevier}
}
@inproceedings{scholkopf2001generalized,
title={A generalized representer theorem},
author={Sch{\"o}lkopf, Bernhard and Herbrich, Ralf and Smola, Alex J},
booktitle={Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001 Amsterdam, The Netherlands, July 16--19, 2001 Proceedings 14},
pages={416--426},
year={2001},
organization={Springer}
}
@article{schmid2011geoadditive,
title={Geoadditive regression modeling of stream biological condition},
author={Schmid, Matthias and Hothorn, Torsten and Maloney, Kelly O and Weller, Donald E and Potapov, Sergej},
journal={Environmental and Ecological Statistics},
volume={18},
pages={709--733},
year={2011},
publisher={Springer}
}
@article{natekin2013gradient,
title={Gradient boosting machines, a tutorial},
author={Natekin, Alexey and Knoll, Alois},
journal={Frontiers in neurorobotics},
volume={7},
pages={21},
year={2013},
publisher={Frontiers Media SA}
}
@article{ferrario2019boosting,
title={On boosting: Theory and applications},
author={Ferrario, Andrea and H{\"a}mmerli, Roger},
journal={Available at SSRN 3402687},
year={2019}
}