Minimal Variance Sampling in Stochastic Gradient Boosting

29 October 2019

Papers citing "Minimal Variance Sampling in Stochastic Gradient Boosting"

12 / 12 papers shown

Title
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 65 0 0 03 May 2024
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems L. Iosipoi Anton Vakhrushev 58 7 0 23 Nov 2022
Gradient Boosting Performs Gaussian Process Inference Aleksei Ustimenko Artem Beliakov Liudmila Prokhorenkova BDL 79 5 0 11 Jun 2022
Towards Computationally Feasible Deep Active Learning Akim Tsvigun Artem Shelmanov Gleb Kuzmin Leonid Sanochkin Daniil Larionov Gleb Gusev Manvel Avetisian L. Zhukov 91 15 0 07 May 2022
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling Taha Toghani Genevera I. Allen 97 10 0 14 Nov 2020
SnapBoost: A Heterogeneous Boosting Machine Thomas Parnell Andreea Anghel M. Lazuka Nikolas Ioannou Sebastian Kurella Peshal Agarwal N. Papandreou Haralambos Pozidis 35 0 0 17 Jun 2020
Out-of-Core GPU Gradient Boosting Rong Ou 7 2 0 19 May 2020
SGLB: Stochastic Gradient Langevin Boosting Aleksei Ustimenko Liudmila Prokhorenkova 83 19 0 20 Jan 2020
Faster Boosting with Smaller Memory Julaiti Alafate Y. Freund 51 8 0 25 Jan 2019
CatBoost: gradient boosting with categorical features support Anna Veronika Dorogush Vasily Ershov Andrey Gulin 180 1,345 0 24 Oct 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 831 39,548 0 09 Mar 2016
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 131 347 0 13 Jan 2014