Recent Advances in Bayesian Optimization

7 June 2022

Markus Olhofer

Papers citing "Recent Advances in Bayesian Optimization"

50 / 50 papers shown

Title
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 48 0 0 10 Apr 2025
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 59 2 0 10 Apr 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 108 0 0 28 Jan 2025
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 66 5 0 18 Apr 2024
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 8 0 25 Aug 2022
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal Nitthilan Kanappan Jayakodi J. Doppa 55 83 0 12 Apr 2022
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 52 108 0 22 Sep 2021
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 41 20 0 30 Aug 2021
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 64 67 0 28 Jun 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 56 22 0 10 Jun 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi Zhou 54 84 0 09 Mar 2021
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization Wenjie Chen Shengcai Liu Ke Tang 52 7 0 20 Jan 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 67 37 0 31 Dec 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 34 41 0 02 Nov 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 55 24 0 21 Oct 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 60 133 0 01 Sep 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 54 34 0 22 Jun 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 73 122 0 17 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 58 39 0 13 Jun 2020
Projection Pursuit Gaussian Process Regression Gecheng Chen Rui Tuo GP 29 13 0 01 Apr 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 85 36 0 07 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 114 0 31 Jan 2020
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 61 95 0 28 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 175 4,428 0 07 Nov 2019
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 53 38 0 04 Nov 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 57 54 0 11 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 81 463 0 03 Oct 2019
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 53 214 0 03 Oct 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 88 97 0 20 Jun 2019
A Tutorial on Bayesian Optimization P. Frazier GP 101 1,776 0 08 Jul 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 66 136 0 22 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 50 135 0 05 Jun 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 61 115 0 20 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 74 607 0 11 Feb 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 486 2,217 0 25 Jul 2017
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 87 229 0 12 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 58 183 0 06 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 46 214 0 05 Jun 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 64 124 0 06 Mar 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,921 0 07 Oct 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 41 224 0 14 Jun 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett Volkan Cevher 84 96 0 25 Jan 2016
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 51 225 0 03 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 100 944 0 18 Feb 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 58 153 0 18 Feb 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 96 647 0 10 Jun 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 319 7,923 0 13 Jun 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 94 329 0 19 Dec 2011
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 116 673 0 06 Dec 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010