Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration

19 April 2013

Papers citing "Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration"

33 / 33 papers shown

Title
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 2024
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 40 3 0 16 Jul 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization Navid Ansari Hans-Peter Seidel Vahid Babaei 24 2 0 01 Jun 2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization Haitong Ma Tianpeng Zhang Yixuan Wu Flavio du Pin Calmon Na Li 29 10 0 10 Mar 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 19 1 0 14 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 29 38 0 06 Oct 2022
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness S. Remy Oliver E. Bent 11 0 0 05 Oct 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 28 11 0 13 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 57 43 0 09 Nov 2021
Overcoming Digital Gravity when using AI in Public Health Decisions S. Remy Aisha Walcott-Bryant Nelson Bore C. Wachira J. Kuehnert AI4CE 8 1 0 05 Nov 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 18 41 0 27 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-Shan Shiu 34 51 0 20 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 25 65 0 28 Jun 2021
A Change-Detection Based Thompson Sampling Framework for Non-Stationary Bandits Gourab Ghatak 23 17 0 06 Sep 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
Regret Bounds for Batched Bandits Hossein Esfandiari Amin Karbasi Abbas Mehrabian Vahab Mirrokni 20 61 0 11 Oct 2019
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments Genevieve Flaspohler Victoria L. Preston A. Michel Yogesh A. Girdhar Nicholas Roy 34 45 0 26 Sep 2019
A tree-based radial basis function method for noisy parallel surrogate optimization Chenchao Shou Matthew West 19 2 0 21 Aug 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 29 44 0 29 Jan 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 24 40 0 24 Jan 2019
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 41 27 0 30 May 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Sequential Preference-Based Optimization Ian Dewancker Jakob Bauer M. McCourt 35 6 0 09 Jan 2018
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 33 178 0 06 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 37 9 0 15 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 43 124 0 06 Mar 2017
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 35 159 0 23 Nov 2015
Optimization for Gaussian Processes via Chaining E. Contal C. Malherbe Nicolas Vayatis 53 7 0 19 Oct 2015
Gaussian Process Optimization with Mutual Information E. Contal Vianney Perchet Nicolas Vayatis 40 81 0 19 Nov 2013