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"

9 / 9 papers shown

Title
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 58 0 0 11 Jul 2024
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization C. Benjamins E. Raponi Anja Jankovic Carola Doerr Marius Lindauer TPM 21 3 0 07 Jun 2023
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis C. Benjamins Anja Jankovic E. Raponi K. Blom Marius Lindauer Carola Doerr 25 5 0 17 Nov 2022
PI is back! Switching Acquisition Functions in Bayesian Optimization C. Benjamins E. Raponi Anja Jankovic K. Blom Maria Laura Santoni Marius Lindauer Carola Doerr 38 5 0 02 Nov 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes M. Seiler Raphael Patrick Prager P. Kerschke Heike Trautmann 30 20 0 12 Apr 2022
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Variance Reduction for Better Sampling in Continuous Domains Laurent Meunier Carola Doerr Jérémy Rapin O. Teytaud 20 8 0 24 Apr 2020