Gradient and Newton Boosting for Classification and Regression

9 August 2018

Papers citing "Gradient and Newton Boosting for Classification and Regression"

12 / 12 papers shown

Title
KTBoost: Combined Kernel and Tree Boosting Fabio Sigrist 42 27 0 11 Feb 2019
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate M. Belkin Daniel J. Hsu P. Mitra AI4CE 146 259 0 13 Jun 2018
Accelerated Gradient Boosting Gérard Biau B. Cadre L. Rouviere 84 111 0 06 Mar 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 68 420 0 05 Feb 2018
TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting Natalia Ponomareva Soroush Radpour Gilbert Hendry Salem Haykal Thomas Colthurst Petr Mitrichev Alexander Grushetsky AI4CE 54 23 0 31 Oct 2017
Progressive Boosting for Class Imbalance Roghayeh Soleymani Eric Granger Giorgio Fumera 44 25 0 05 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 345 4,636 0 10 Nov 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 812 39,062 0 09 Mar 2016
MLlib: Machine Learning in Apache Spark Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan R. Sparks Shivaram Venkataraman ... Reynold Xin Michael Franklin R. Zadeh Matei A. Zaharia Ameet Talwalkar 60 1,785 0 26 May 2015
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers A. Wyner Matthew A. Olson J. Bleich David Mease 95 269 0 28 Apr 2015
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost Ping Li 92 166 0 15 Mar 2012
Learning Nonlinear Functions Using Regularized Greedy Forest Rie Johnson Tong Zhang 171 159 0 05 Sep 2011