Towards Assessing the Impact of Bayesian Optimization's Own
Hyperparameters

Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters

19 August 2019

Marius Lindauer

Matthias Feurer

Katharina Eggensperger

André Biedenkapp

Papers citing "Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters"

14 / 14 papers shown

Title
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 41 6 0 05 Jun 2024
Using Large Language Models for Hyperparameter Optimization Michael Ruogu Zhang Nishkrit Desai Juhan Bae Jonathan Lorraine Jimmy Ba 34 51 0 07 Dec 2023
AutoML in Heavily Constrained Applications Felix Neutatz Marius Lindauer Ziawasch Abedjan 25 4 0 29 Jun 2023
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 26 5 0 02 Nov 2022
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Julia Moosbauer Martin Binder Lennart Schneider Florian Pfisterer Marc Becker Michel Lang Lars Kotthoff Bernd Bischl 13 7 0 29 Nov 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 328 0 20 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization Florian Pfisterer Lennart Schneider Julia Moosbauer Martin Binder B. Bischl 33 35 0 08 Sep 2021
Revisiting Bayesian Optimization in the light of the COCO benchmark Rodolphe Le Riche Victor Picheny 14 26 0 30 Mar 2021
FixNorm: Dissecting Weight Decay for Training Deep Neural Networks Yucong Zhou Yunxiao Sun Zhaobai Zhong 16 6 0 29 Mar 2021
What do you Mean? The Role of the Mean Function in Bayesian Optimisation George De Ath J. Fieldsend Richard Everson 11 16 0 17 Apr 2020
Initial Design Strategies and their Effects on Sequential Model-Based Optimization Jakob Bossek Carola Doerr P. Kerschke 14 26 0 30 Mar 2020