Warmstarting of Model-based Algorithm Configuration

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Warmstarting of Model-based Algorithm Configuration

14 September 2017

Marius Lindauer

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Papers citing "Warmstarting of Model-based Algorithm Configuration"

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Title
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments Ke Li Renzhi Chen Xin Yao 76 18 0 05 Nov 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Yang Li Yu Shen Huaijun Jiang Wentao Zhang Zhi-Xin Yang Ce Zhang Tengjiao Wang 72 15 0 06 Jun 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 153 38 0 10 May 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 98 52 0 03 Feb 2022
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization Maximilian Böther Otto Kißig M. Taraz S. Cohen Karen Seidel Tobias Friedrich AI4CE 110 46 0 25 Jan 2022
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 124 38 0 10 Nov 2021
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 254 514 0 13 Jul 2021
Meta-Learning for Symbolic Hyperparameter Defaults Pieter Gijsbers Florian Pfisterer Jan N. van Rijn B. Bischl Joaquin Vanschoren 72 9 0 10 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 84 28 0 06 Jun 2021
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 97 8 0 25 Jun 2020
Transferable Neural Processes for Hyperparameter Optimization Ying Wei P. Zhao Huaxiu Yao Junzhou Huang BDL 52 8 0 07 Sep 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 87 65 0 27 Jun 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 86 64 0 27 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 75 86 0 26 Apr 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 157 1,407 0 15 Nov 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 142 35 0 06 Feb 2018