Initial Design Strategies and their Effects on Sequential Model-Based Optimization

30 March 2020

Papers citing "Initial Design Strategies and their Effects on Sequential Model-Based Optimization"

10 / 10 papers shown

Title
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 104 18 0 19 Aug 2019
Towards White-box Benchmarks for Algorithm Control André Biedenkapp H. Bozkurt Frank Hutter Marius Lindauer 111 7 0 18 Jun 2019
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 15 376 0 28 Nov 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 127 1,077 0 04 Jul 2018
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices Benjamin Doerr Carola Doerr 12 76 0 16 Apr 2018
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning P. Kerschke Heike Trautmann 44 150 0 24 Nov 2017
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 38 168 0 09 Mar 2017
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 19 421 0 29 Mar 2016
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization Thomas Bartz-Beielstein 81 54 0 23 Jun 2010
CMA-ES with Two-Point Step-Size Adaptation Nikolaus Hansen 65 579 0 02 May 2008