Optimization as Estimation with Gaussian Processes in Bandit Settings

21 October 2015

Papers citing "Optimization as Estimation with Gaussian Processes in Bandit Settings"

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Title
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 58 0 0 13 Mar 2025
Indirect Query Bayesian Optimization with Integrated Feedback Mengyan Zhang S. Bouabid Cheng Soon Ong Seth Flaxman Dino Sejdinovic 81 0 0 18 Dec 2024
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno Yu Inatsu Masayuki Karasuyama 35 0 0 02 Sep 2024
Uncertainty-Guided Optimization on Large Language Model Search Trees Julia Grosse Ruotian Wu Ahmad Rashid Philipp Hennig Pascal Poupart Agustinus Kristiadi 45 1 0 04 Jul 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 48 5 0 14 Mar 2024
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 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
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas Desautels Yuxin Chen 32 6 0 25 Jul 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings Shuhei A Horiguchi Tomoharu Iwata Taku Tsuzuki Yosuke Ozawa 21 1 0 02 Nov 2022
Bayesian Optimization for Macro Placement Changyong Oh Roberto Bondesan D. Kianfar Rehan Ahmed Rishubh Khurana Payal Agarwal Romain Lepert M. Sriram Max Welling 19 5 0 18 Jul 2022
$$\{\text{PF}\}^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization$ $\{\text{PF}\}^2$ ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Jixiang Qing Henry B. Moss T. Dhaene Ivo Couckuyt 20 3 0 11 Apr 2022
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal J. Doppa 26 16 0 13 Oct 2021
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 65 40 0 16 Sep 2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling Kai Wang Bryan Wilder S. Suen B. Dilkina Milind Tambe 133 0 0 07 Jul 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel Changyong Oh Roberto Bondesan E. Gavves Max Welling 23 5 0 26 Feb 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti Francesco Archetti 21 4 0 05 Feb 2021
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health M. Menictas Sabina Tomkins S. Murphy 19 2 0 21 Dec 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 30 131 0 01 Sep 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization Xu Cai Jonathan Scarlett 58 30 0 20 Aug 2020
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja S. Murphy 34 30 0 31 Jul 2020
MTAdam: Automatic Balancing of Multiple Training Loss Terms Itzik Malkiel Lior Wolf ODL 16 22 0 25 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 36 104 0 08 Jun 2020
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health M. Menictas Sabina Tomkins S. Murphy OffRL 14 0 0 28 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 22 9 0 20 Mar 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 24 46 0 25 Feb 2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data Sabina Tomkins Peng Liao P. Klasnja Serena Yeung S. Murphy 44 6 0 23 Feb 2020
On Batch Bayesian Optimization Sayak Ray Chowdhury Aditya Gopalan 16 9 0 04 Nov 2019
Bayesian Optimization using Pseudo-Points Chao Qian Hang Xiong Ke Xue 23 15 0 12 Oct 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury Aditya Gopalan 16 25 0 16 Sep 2019
Knowing The What But Not The Where in Bayesian Optimization Vu Nguyen Michael A. Osborne 20 37 0 07 May 2019
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design Kevin Kaichuang Yang Yuxin Chen Alycia Lee Yisong Yue 27 16 0 17 Apr 2019
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes Jialin Song Y. Tokpanov Yuxin Chen Dagny Fleischman Katherine T Fountaine H. Atwater Yisong Yue 17 8 0 15 Nov 2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 6 101 0 02 Nov 2018
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 27 90 0 26 Jul 2018
Probabilistic Bisection with Spatial Metamodels Sergio Rodríguez M. Ludkovski 16 2 0 30 Jun 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 38 27 0 30 May 2018
Active model learning and diverse action sampling for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 28 81 0 02 Mar 2018
Gaussian Process bandits with adaptive discretization S. Shekhar T. Javidi 22 51 0 05 Dec 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
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic V. Cevher 25 99 0 31 May 2017
Efficient acquisition rules for model-based approximate Bayesian computation Marko Jarvenpaa Michael U. Gutmann Arijus Pleska Aki Vehtari Pekka Marttinen TPM 27 69 0 03 Apr 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 21 449 0 03 Apr 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 35 124 0 06 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017
Depth Creates No Bad Local Minima Haihao Lu Kenji Kawaguchi ODL FAtt 28 121 0 27 Feb 2017
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria Amit Deshpande Pushmeet Kohli GP 22 103 0 13 Nov 2016
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems Zi Wang Stefanie Jegelka L. Kaelbling Tomás Lozano-Pérez 30 17 0 26 Jul 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin G. Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 38 2,292 0 21 Mar 2016
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014