A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives

16 May 2015

Papers citing "A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives"

8 / 8 papers shown

Title
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling Cathy Shyr Pragya Sur Giovanni Parmigiani Prasad Patil 27 1 0 11 Jul 2022
IPBoost -- Non-Convex Boosting via Integer Programming M. Pfetsch Sebastian Pokutta 48 6 0 11 Feb 2020
$A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-$\ell_1$-Norm Interpolated Classifiers$ A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $\ell_1$ -Norm Interpolated Classifiers Tengyuan Liang Pragya Sur 133 70 0 05 Feb 2020
Accelerating Gradient Boosting Machine Haihao Lu Sai Praneeth Karimireddy Natalia Ponomareva Vahab Mirrokni AI4CE 44 12 0 20 Mar 2019
Randomized Gradient Boosting Machine Haihao Lu Rahul Mazumder AI4CE 89 34 0 24 Oct 2018
Restricted Strong Convexity Implies Weak Submodularity Ethan R. Elenberg Rajiv Khanna A. Dimakis S. Negahban 92 159 0 02 Dec 2016
High-Dimensional $L_2$ Boosting: Rate of Convergence Ye Luo Martin Spindler Jannis Kuck 78 32 0 29 Feb 2016
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization Rahul Mazumder P. Radchenko 204 41 0 08 Aug 2015