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Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

20 April 2021

Papers citing "Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020"

32 / 32 papers shown

Title
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 89 0 0 31 Dec 2024
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling Samuel Belkadi Libo Ren Nicolo Micheletti Lifeng Han Goran Nenadic SyDa MedIm 79 0 0 15 Sep 2024
Contextual Causal Bayesian Optimisation Vahan Arsenyan Antoine Grosnit Haitham Bou-Ammar CML 99 2 0 29 Jan 2023
Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach Dongsheng Yang Wataru Sato Qianying Liu Takashi Minato Shushi Namba Shin’ya Nishida CVBM 66 4 0 13 Jan 2023
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 115 1 0 14 Sep 2022
Emulation of physical processes with Emukit Andrei Paleyes Mark Pullin Maren Mahsereci Cliff McCollum Neil D. Lawrence Javier I. González 73 80 0 25 Oct 2021
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization Mikita Sazanovich A. Nikolskaya Yury Belousov A. Shpilman 37 14 0 18 Dec 2020
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 38 8 0 15 Dec 2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization Subhodip Biswas Adam D. Cobb Andreea Sistrunk Naren Ramakrishnan Brian Jalaian 59 8 0 11 Dec 2020
GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms Jiwei Liu Bojan Tunguz Gilberto Titericz 60 8 0 08 Dec 2020
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables Taehyeon Kim Jaeyeon Ahn Nakyil Kim Seyoung Yun 70 3 0 07 Dec 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 95 128 0 01 Jul 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 80 241 0 09 Jun 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 79 101 0 20 Feb 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 100 474 0 03 Oct 2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization David Eriksson D. Bindel C. Shoemaker 73 56 0 30 Jul 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 84 176 0 15 Mar 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language Willie Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric Xing 90 18 0 31 Jan 2019
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,799 0 08 Jul 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow Nicolas Knudde J. Herten T. Dhaene Ivo Couckuyt GP 60 78 0 10 Nov 2017
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham Brian Karrer Guilherme Ottoni E. Bakshy 68 303 0 21 Jun 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 81 185 0 06 Jun 2017
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 114 226 0 14 Jun 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 76 429 0 29 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 246 2,336 0 21 Mar 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 102 198 0 01 Mar 2016
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 74 228 0 03 Jun 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 141 357 0 29 May 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 78 153 0 18 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 384 7,981 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 131 673 0 06 Dec 2011
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 451 280 0 28 Sep 2010