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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
Optimization

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

20 September 2021

Marius Lindauer

Katharina Eggensperger

Matthias Feurer

André Biedenkapp

Papers citing "SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization"

18 / 18 papers shown

Title
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 14 0 0 28 May 2025
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Robbert Reijnen Yaoxin Wu Zaharah Bukhsh Yingqian Zhang AI4CE 62 0 0 22 May 2025
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model Timo Kaiser Thomas Norrenbrock Bodo Rosenhahn 65 0 0 08 May 2025
Automated Machine Learning for Remaining Useful Life Predictions Marc-André Zöller Fabian Mauthe P. Zeiler Marius Lindauer Marco F. Huber AI4CE 76 5 0 20 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 66 1 0 03 Jan 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML Daphne Theodorakopoulos Frederic Stahl Marius Lindauer 97 3 0 03 Jan 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 188 4 0 01 Nov 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 144 3 0 24 Sep 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 78 1 0 24 Jun 2024
Squirrel: A Switching Hyperparameter Optimizer Noor H. Awad Gresa Shala Difan Deng Neeratyoy Mallik Matthias Feurer ... Diederick Vermetten Hao Wang Carola Doerr Marius Lindauer Frank Hutter 14 8 0 15 Dec 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 58 458 0 03 Oct 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 115 369 0 20 Sep 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 19 92 0 13 May 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 43 174 0 15 Mar 2019
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 19 86 0 11 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 116 1,077 0 04 Jul 2018
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 238 7,883 0 13 Jun 2012
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 180 279 0 28 Sep 2010

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