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Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

Papers citing "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"

37 / 37 papers shown

Title
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization Meher Bhaskar Madiraju Meher Sai Preetam Madiraju 135 0 0 25 May 2025
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 66 2 0 10 Apr 2025
Swarm Characteristics Classification Using Neural Networks Donald W. Peltier Isaac Kaminer Abram H. Clark Marko Orescanin 61 1 0 20 Feb 2025
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 420 0 0 10 Feb 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 508 0 0 22 Jan 2025
Automated Machine Learning for Remaining Useful Life Predictions Marc-André Zöller Fabian Mauthe P. Zeiler Marius Lindauer Marco F. Huber AI4CE 110 5 0 20 Jan 2025
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 151 1 0 05 Dec 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 115 8 0 04 Oct 2024
Sequential Binary Classification for Intrusion Detection Ishan Chokshi Shrihari Vasudevan Nachiappan Sundaram Raaghul Ranganathan 125 0 0 10 Jun 2024
Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon R. Graham Kevin Leyton-Brown 84 0 0 28 May 2024
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 160 1 0 12 Feb 2024
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits Nicolas Nguyen Imad Aouali András Gyorgy Claire Vernade 80 2 0 08 Feb 2024
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems Younghyun Cho James Demmel Michal Derezinski Haoyun Li Hengrui Luo Michael W. Mahoney Riley Murray 49 7 0 30 Aug 2023
Learning Curves for Decision Making in Supervised Machine Learning: A Survey F. Mohr Jan N. van Rijn 104 55 0 28 Jan 2022
DeepWiFi: Cognitive WiFi with Deep Learning Kemal Davaslioglu S. Soltani T. Erpek Y. Sagduyu 49 45 0 29 Oct 2019
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 69 221 0 18 Mar 2017
Easy over Hard: A Case Study on Deep Learning Wei Fu Tim Menzies 76 196 0 01 Mar 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 76 552 0 23 May 2016
A Stratified Analysis of Bayesian Optimization Methods Ian Dewancker M. McCourt Scott C. Clark Patrick Hayes A. Johnson George Ke 60 39 0 31 Mar 2016
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 88 110 0 05 Nov 2015
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 68 78 0 21 Oct 2015
Simple regret for infinitely many armed bandits Alexandra Carpentier Michal Valko 233 89 0 18 May 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 58 356 0 05 Mar 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 213 580 0 27 Feb 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 95 1,045 0 19 Feb 2015
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 204 1,028 0 16 Jul 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 101 270 0 16 Jun 2014
Efficient Multi-Start Strategies for Local Search Algorithms András Gyorgy Levente Kocsis 77 88 0 16 Jan 2014
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck 84 417 0 27 Dec 2013
Gaussian Process Optimization with Mutual Information E. Contal Vianney Perchet Nicolas Vayatis 104 82 0 19 Nov 2013
Least Squares Revisited: Scalable Approaches for Multi-class Prediction Alekh Agarwal Sham Kakade Nikos Karampatziakis Le Song Gregory Valiant 97 29 0 07 Oct 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 173 282 0 09 Aug 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 376 7,965 0 13 Jun 2012
Fast Cross-Validation via Sequential Testing Tammo Krueger Danny Panknin M. Braun 80 51 0 11 Jun 2012
Convolutional Neural Networks Applied to House Numbers Digit Classification P. Sermanet Soumith Chintala Yann LeCun 102 543 0 18 Apr 2012
X-Armed Bandits Sébastien Bubeck Rémi Munos Gilles Stoltz Csaba Szepesvari 157 383 0 25 Jan 2010
Fast rates for support vector machines using Gaussian kernels Ingo Steinwart C. Scovel 288 283 0 14 Aug 2007