Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping

1 April 2020

Papers citing "Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping"

13 / 13 papers shown

Title
Fast Polynomial Kernel Classification for Massive Data Jinshan Zeng Minrun Wu Shao-Bo Lin Ding-Xuan Zhou TPM 51 5 0 24 Nov 2019
Accelerated Gradient Boosting Gérard Biau B. Cadre L. Rouviere 81 111 0 06 Mar 2018
Early stopping for kernel boosting algorithms: A general analysis with localized complexities Yuting Wei Fanny Yang Martin J. Wainwright 51 77 0 05 Jul 2017
Learning rates for classification with Gaussian kernels Shaobo Lin Jinshan Zeng Xiangyu Chang 22 12 0 28 Feb 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 72 551 0 18 Feb 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Shrinkage degree in $L_2$ -re-scale boosting for regression Lin Xu Shaobo Lin Yao Wang Zongben Xu 22 17 0 17 May 2015
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems Takafumi Kanamori Akiko Takeda Taiji Suzuki 54 2 0 30 Apr 2012
Learning Nonlinear Functions Using Regularized Greedy Forest Rie Johnson Tong Zhang 171 159 0 05 Sep 2011
The Rate of Convergence of AdaBoost Indraneel Mukherjee Cynthia Rudin Robert E. Schapire 103 64 0 29 Jun 2011
Approximation and learning by greedy algorithms Andrew R. Barron A. Cohen W. Dahmen Ronald A. DeVore 332 323 0 12 Mar 2008
Fast rates for support vector machines using Gaussian kernels Ingo Steinwart C. Scovel 286 284 0 14 Aug 2007
Forward stagewise regression and the monotone lasso Trevor Hastie Jonathan E. Taylor Robert Tibshirani G. Walther LLMSV 610 119 0 02 May 2007