Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

23 May 2016

Papers citing "Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets"

20 / 70 papers shown

Title
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 30 205 0 27 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,420 0 02 Aug 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 15 91 0 13 May 2019
CrossTrainer: Practical Domain Adaptation with Loss Reweighting Justin Chen Edward Gan Kexin Rong S. Suri Peter Bailis 22 4 0 07 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 33 717 0 20 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives Tinu Theckel Joy Santu Rana Sunil R. Gupta Svetha Venkatesh 13 55 0 06 Feb 2019
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 16 25 0 15 Oct 2018
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin G. Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 24 372 0 13 Oct 2018
Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms Andreea Anghel N. Papandreou Thomas Parnell Alessandro De Palma H. Pozidis 15 51 0 12 Sep 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 21 104 0 19 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 15 1,737 0 08 Jul 2018
Micky: A Cheaper Alternative for Selecting Cloud Instances Chin-Jung Hsu V. Nair Tim Menzies Vincent W. Freeh 14 44 0 15 Mar 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 55 34 0 06 Feb 2018
An effective algorithm for hyperparameter optimization of neural networks G. I. Diaz Achille Fokoue G. Nannicini Horst Samulowitz 24 156 0 23 May 2017
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 41 198 0 01 Mar 2016