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In addition to the best model architecture and hyperparameters, a full AutoML solution requires selecting appropriate hardware automatically.
Model-based Asynchronous Hyperparameter and Neural Architecture Search
Louis Tiao, Aaron Klein, Thibaut Lienart, Cedric Archambeau, and Matthias Seeger · 2003
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Parego: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
J. Knowles · 2005
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Nearest-neighbor searching and metric space dimensions
Kenneth L Clarkson · 2006
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Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Daniel Golovin and Qiuyi Zhang · 2006
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A tutorial on multiobjective optimization: fundamentals and evolutionary methods
Michael T.M. Emmerich and André H. Deutz · 2018
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BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner, Aaron Klein, and Frank Hutter · 2018
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Hyperband: A novel bandit-based approach to hyperparameter optimization
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V. Le · 2018
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Efficient multi-objective neural architecture search via Lamarckian evolution
Thomas Elsken, Frank Hutter, and Jan Hendrik Metzen · 2019
Cited alongside, same era.
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization arXiv : 1905 . 04970v1 [ cs . LG ] 13 May 2019
Aaron Klein and Frank Hutter · 2019
Cited alongside, same era.
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone, Huibin Shen, Matthias Seeger, Cédric Archambeau, and Rodolphe Jenatton · 2019
Cited alongside, same era.
A bandit-based algorithm for fairness-aware hyperparameter optimization, 2020
André F. Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, and Pedro Bizarro · 2020
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Nas-bench-201: Extending the scope of reproducible neural architecture search
Xuanyi Dong and Yi Yang · 2020
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A quantile-based approach for hyperparameter transfer learning
David Salinas, Huibin Shen, and Valerio Perrone · 2020
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Multi-objective multi-fidelity hyperparameter optimization with application to fairness
Robin Schmucker, Michele Donini, Valerio Perrone, Bilal Zafar Muhammad, and Cedric Archambeau · 2020
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A comprehensive survey on hardware-aware neural architecture search, 2021
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smail Niar, Martin Wistuba, and Naigang Wang · 2021
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FBNET: Hardware-aware efficient convnet design via differentiable neural architecture search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, and Kurt Keutzer · 2019
Cited alongside, same era.
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, and Yingyan Lin · 2021
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