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Recent Advances in Bayesian Optimization

7 June 2022

Markus Olhofer

Papers citing "Recent Advances in Bayesian Optimization"

50 / 109 papers shown

Title
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 69 2 0 10 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 66 1 0 10 Apr 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 147 0 0 28 Jan 2025
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 89 5 0 18 Apr 2024
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 68 8 0 25 Aug 2022
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal Nitthilan Kanappan Jayakodi J. Doppa 71 83 0 12 Apr 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization Petru Tighineanu Kathrin Skubch P. Baireuther Attila Reiss Felix Berkenkamp Julia Vinogradska 55 33 0 22 Nov 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 59 37 0 02 Nov 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces Aryan Deshwal J. Doppa BDL 75 44 0 01 Nov 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 75 42 0 27 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 69 113 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 51 20 0 30 Aug 2021
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization Q. Nguyen Zhaoxuan Wu K. H. Low Patrick Jaillet 68 12 0 30 Jul 2021
Global optimization using random embeddings C. Cartis E. Massart Adilet Otemissov 40 9 0 26 Jul 2021
Weighted Gaussian Process Bandits for Non-stationary Environments Yuntian Deng Xingyu Zhou Baekjin Kim Ambuj Tewari Abhishek Gupta Ness B. Shroff 49 26 0 06 Jul 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 75 67 0 28 Jun 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 48 51 0 24 Jun 2021
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization Jinjin Xu Yaochu Jin W. Du FedML 38 30 0 22 Jun 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 74 23 0 10 Jun 2021
Bayesian Optimisation for Constrained Problems Juan Ungredda Juergen Branke 41 15 0 27 May 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 45 7 0 20 May 2021
A sampling criterion for constrained Bayesian optimization with uncertainties M. R. E. Amri Rodolphe Le Riche C. Helbert Christophette Blanchet-Scalliet Sébastien Da Veiga 29 14 0 09 Mar 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi Zhou 72 85 0 09 Mar 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 88 146 0 27 Feb 2021
A Federated Data-Driven Evolutionary Algorithm Jinjin Xu Yaochu Jin W. Du Sai Gu FedML 107 36 0 16 Feb 2021
No-Regret Algorithms for Time-Varying Bayesian Optimization Xingyu Zhou Ness B. Shroff 41 21 0 11 Feb 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 74 37 0 31 Dec 2020
Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal Syrine Belakaria J. Doppa 73 32 0 14 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal Syrine Belakaria J. Doppa Alan Fern 62 22 0 14 Dec 2020
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim Seungjin Choi Minsu Cho 102 6 0 26 Nov 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 41 42 0 02 Nov 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 68 24 0 21 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 143 112 0 20 Oct 2020
Asynchronous ε-Greedy Bayesian Optimisation George De Ath Richard Everson J. Fieldsend 52 5 0 15 Oct 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 81 133 0 01 Sep 2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models Aryan Deshwal Syrine Belakaria J. Doppa 50 13 0 18 Aug 2020
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities Loïc Brevault M. Balesdent Ali Hebbal 70 72 0 30 Jun 2020
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes Ali Hebbal Loïc Brevault M. Balesdent El-Ghazali Talbi N. Melab AI4CE 61 36 0 29 Jun 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 70 34 0 22 Jun 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 94 123 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 83 39 0 13 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 67 86 0 09 Jun 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization Jingfan Chen Guanghui Zhu Chun Yuan Yihua Huang 117 15 0 29 May 2020
Projection Pursuit Gaussian Process Regression Gecheng Chen Rui Tuo GP 29 13 0 01 Apr 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 142 58 0 22 Mar 2020
Bayesian optimization of variable-size design space problems J. Pelamatti Loïc Brevault M. Balesdent El-Ghazali Talbi Yannick Guerin 78 29 0 06 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 94 53 0 04 Mar 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 84 79 0 20 Feb 2020
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems Xiao-e Ruan Ke Li B. Derbel A. Liefooghe 37 20 0 08 Feb 2020