Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters

30 June 2014

Papers citing "Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters"

41 / 41 papers shown

Title
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal Juliusz Ziomek Masaki Adachi Michael A. Osborne 37 1 0 14 Oct 2024
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization Shouri Hu Jiawei Li Zhibo Cai 35 1 0 08 Mar 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization Jiazhao Zhang Ying Hung Chung-Ching Lin Zicheng Liu 15 0 0 19 Jan 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama Ichiro Takeuchi 34 6 0 07 Nov 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations Han Zhou Xingchen Ma Matthew B Blaschko 12 1 0 08 Oct 2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation Huong Ha Vu-Linh Nguyen Hung Tran-The Hongyu Zhang Xiuzhen Zhang Anton Van Den Hengel 28 1 0 12 Jun 2023
$Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields$ Toward $L_\infty$ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields Kefan Dong Tengyu Ma 43 4 0 29 Apr 2023
Rover: An online Spark SQL tuning service via generalized transfer learning Yu Shen Xinyuyang Ren Yupeng Lu Huaijun Jiang Huanyong Xu Di Peng Yang Li Wentao Zhang Bin Cui 34 10 0 08 Feb 2023
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 46 3 0 27 Oct 2022
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization Wenjie Xu Yuning Jiang E. Maddalena Colin N. Jones 20 9 0 20 Sep 2022
The case for fully Bayesian optimisation in small-sample trials Yuji Saikai 27 0 0 30 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 39 6 0 16 Jul 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 33 4 0 10 May 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 13 12 0 15 Mar 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 36 6 0 01 Feb 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco 14 13 0 30 Jan 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 57 42 0 09 Nov 2021
Open Problem: Tight Online Confidence Intervals for RKHS Elements Sattar Vakili John Scarlett T. Javidi 23 21 0 28 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 31 51 0 20 Aug 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia Sattar Vakili Qing Zhao 38 33 0 27 Oct 2020
Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 8 2 0 14 Jun 2020
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation Julian Berk Sunil R. Gupta Santu Rana Svetha Venkatesh 18 38 0 08 Jun 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 6 1 0 23 Mar 2020
$ε$ -shotgun: $ε$ -greedy Batch Bayesian Optimisation George De Ath Richard Everson J. Fieldsend Alma A. M. Rahat 29 15 0 05 Feb 2020
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 25 94 0 28 Nov 2019
Evolving Gaussian Process kernels from elementary mathematical expressions Ibai Roman Roberto Santana A. Mendiburu Jose A. Lozano 19 3 0 11 Oct 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 8 32 0 20 Sep 2019
An iterative scheme for feature based positioning using a weighted dissimilarity measure Caifa Zhou A. Wieser 21 1 0 20 May 2019
Knowing The What But Not The Where in Bayesian Optimization Vu Nguyen Michael A. Osborne 20 37 0 07 May 2019
Fully Distributed Bayesian Optimization with Stochastic Policies Javier Garcia-Barcos Ruben Martinez-Cantin OffRL 14 14 0 26 Feb 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters Felix Berkenkamp Angela P. Schoellig Andreas Krause TPM 23 72 0 10 Jan 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 27 54 0 23 Nov 2018
Practical Batch Bayesian Optimization for Less Expensive Functions Vu Nguyen Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 19 3 0 05 Nov 2018
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization B. Pokuri Alec Lofquist C. Risko Baskar Ganapathysubramanian 11 10 0 12 Sep 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization A. Durand Odalric-Ambrym Maillard Joelle Pineau 21 44 0 02 Aug 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic V. Cevher 25 99 0 31 May 2017
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 21 42 0 11 Nov 2016
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems Ruben Martinez-Cantin 21 42 0 02 Oct 2016
Heteroscedastic Treed Bayesian Optimisation Yannis Assael Ziyun Wang Bobak Shahriari Nando de Freitas 41 48 0 27 Oct 2014
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014