A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting

10 April 2020

Papers citing "A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting"

6 / 6 papers shown

Title
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 165 5 0 27 Oct 2024
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 57 612 0 26 Feb 2018
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 74 549 0 23 May 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 664 38,735 0 09 Mar 2016
An ensemble-based system for automatic screening of diabetic retinopathy B. Antal András Hajdu 75 237 0 30 Oct 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 329 7,923 0 13 Jun 2012