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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
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 91 38 0 07 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 99 115 0 31 Jan 2020
Randomly Projected Additive Gaussian Processes for Regression Ian A. Delbridge D. Bindel A. Wilson 52 27 0 30 Dec 2019
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 88 100 0 28 Nov 2019
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen Sunil R. Gupta Santu Rana A. Shilton Svetha Venkatesh 118 50 0 28 Nov 2019
Black-box Combinatorial Optimization using Models with Integer-valued Minima Laurens Bliek S. Verwer Mathijs de Weerdt 51 19 0 20 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 188 4,474 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 81 38 0 04 Nov 2019
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization M. Turchetta Andreas Krause Sebastian Trimpe OffRL 57 42 0 29 Oct 2019
Constrained Bayesian Optimization with Max-Value Entropy Search Valerio Perrone I. Shcherbatyi Rodolphe Jenatton Cédric Archambeau Matthias Seeger 51 42 0 15 Oct 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 70 54 0 11 Oct 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 73 22 0 09 Oct 2019
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
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 64 217 0 03 Oct 2019
Cost-aware Multi-objective Bayesian optimisation Majid Abdolshah A. Shilton Santu Rana Sunil R. Gupta Svetha Venkatesh 47 18 0 09 Sep 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 52 44 0 21 Jul 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova Akshara Rai Tianyu Li Danica Kragic DRL 117 19 0 10 Jul 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 114 97 0 20 Jun 2019
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 53 30 0 06 Jun 2019
Multi-objective Bayesian Optimization using Pareto-frontier Entropy Shinya Suzuki Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 60 75 0 01 Jun 2019
Bayesian Optimization using Deep Gaussian Processes Ali Hebbal Loïc Brevault M. Balesdent El-Ghazali Talbi N. Melab GP 87 70 0 07 May 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 92 85 0 04 Apr 2019
Sampling Acquisition Functions for Batch Bayesian Optimization Alessandro De Palma Celestine Mendler-Dünner Thomas Parnell Andreea Anghel H. Pozidis 56 13 0 22 Mar 2019
Deep Gaussian Processes for Multi-fidelity Modeling Kurt Cutajar Mark Pullin Andreas C. Damianou Neil D. Lawrence Javier I. González AI4CE 69 110 0 18 Mar 2019
Financial Applications of Gaussian Processes and Bayesian Optimization Joan Gonzalvez Edmond Lezmi T. Roncalli Jiali Xu 50 54 0 12 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 64 132 0 12 Mar 2019
Fully Distributed Bayesian Optimization with Stochastic Policies Javier Garcia-Barcos Ruben Martinez-Cantin OffRL 44 14 0 26 Feb 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Jakub M. Tomczak E. Gavves Max Welling 84 108 0 01 Feb 2019
Practical Batch Bayesian Optimization for Less Expensive Functions Vu Nguyen Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 29 3 0 05 Nov 2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 146 101 0 02 Nov 2018
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,797 0 08 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 103 693 0 03 Jul 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 92 137 0 22 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 76 137 0 05 Jun 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 82 115 0 20 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 97 609 0 11 Feb 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,247 0 25 Jul 2017
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 124 232 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 81 185 0 06 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 70 216 0 05 Jun 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 87 124 0 06 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 169 413 0 06 Mar 2017
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco Felix Berkenkamp Philipp Hennig Angela P. Schoellig Andreas Krause S. Schaal Sebastian Trimpe 82 128 0 03 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 180 2,939 0 07 Oct 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 102 226 0 14 Jun 2016
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Victor Picheny R. Gramacy Stefan M. Wild Sébastien Le Digabel 42 94 0 31 May 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett Volkan Cevher 122 98 0 25 Jan 2016
Active Contextual Entropy Search J. H. Metzen 55 9 0 13 Nov 2015
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 68 228 0 03 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 142 946 0 18 Feb 2015