Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

10 June 2014

José Miguel Hernández-Lobato

Papers citing "Predictive Entropy Search for Efficient Global Optimization of Black-box Functions"

50 / 135 papers shown

Title
Pareto-frontier Entropy Search with Variational Lower Bound Maximization Masanori Ishikura Masayuki Karasuyama 68 0 0 31 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 92 2 0 17 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 41 1 0 03 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 215 0 0 06 Nov 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 57 4 0 20 Oct 2024
Batched Bayesian optimization by maximizing the probability of including the optimum Jenna C. Fromer Runzhong Wang Mrunali Manjrekar Austin Tripp José Miguel Hernández-Lobato Connor W. Coley 47 0 0 08 Oct 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 54 5 0 18 Apr 2024
Variational Entropy Search for Adjusting Expected Improvement Nuojin Cheng Stephen Becker 31 1 0 17 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 Feb 2024
Bayesian Optimization with Adaptive Kernels for Robot Control Ruben Martinez-Cantin 17 37 0 10 Feb 2024
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions Mike Diessner Kevin J. Wilson Richard D. Whalley 24 0 0 05 Feb 2024
Understanding an Acquisition Function Family for Bayesian Optimization Jiajie Kong Tony Pourmohamad Herbert K. H. Lee 19 0 0 16 Oct 2023
On Active Learning for Gaussian Process-based Global Sensitivity Analysis Mohit Chauhan Mariel A. Ojeda-Tuz R. Catarelli K. Gurley Dimitrios Tsapetis Michael D. Shields 18 12 0 27 Aug 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 30 1 0 19 Jun 2023
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 34 1 0 15 May 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 42 29 0 17 Apr 2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 36 7 0 23 Mar 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
BO-Muse: A human expert and AI teaming framework for accelerated experimental design Sunil R. Gupta A. Shilton V. ArunKumarA. S. Ryan Majid Abdolshah Hung Le Santu Rana Julian Berk Mahad Rashid Svetha Venkatesh 42 7 0 03 Mar 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 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
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 32 25 0 24 Jan 2023
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Robustness in Fatigue Strength Estimation D. Weichert Alexander Kister Sebastian Houben G. Ernis Stefan Wrobel 21 1 0 02 Dec 2022
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization Jose Pablo Folch Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 36 23 0 11 Nov 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory Viraj Mehta I. Char J. Abbate R. Conlin M. Boyer Stefano Ermon J. Schneider Willie Neiswanger OffRL 27 6 0 06 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 45 11 0 04 Oct 2022
Efficient computation of the Knowledge Gradient for Bayesian Optimization Juan Ungredda Michael Pearce Juergen Branke 37 2 0 30 Sep 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 116 4 0 13 Sep 2022
Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives Sara Ayoub Miskovich Willie Neiswanger W. Colocho C. Emma Jacqueline Garrahan T. Maxwell C. Mayes Stefano Ermon A. Edelen Daniel Ratner 21 3 0 10 Sep 2022
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 23 7 0 25 Aug 2022
Inference of Regulatory Networks Through Temporally Sparse Data Mohammad Alali Mahdi Imani 24 17 0 21 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 38 23 0 27 Jun 2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization Kyurae Kim Youngjae Kim Sungyong Park 23 12 0 12 Jun 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 44 36 0 09 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 24 4 0 06 Jun 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
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation Benjamin Letham Phillip Guan Chase Tymms E. Bakshy Michael Shvartsman 35 10 0 18 Mar 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 33 7 0 03 Mar 2022
Rectified Max-Value Entropy Search for Bayesian Optimization Q. Nguyen K. H. Low Patrick Jaillet 17 5 0 28 Feb 2022
Uncertainty Aware System Identification with Universal Policies B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 21 3 0 11 Feb 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 30 35 0 02 Jan 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints Yunxiang Zhang Xinming Zhang P. Frazier 27 7 0 06 Dec 2021
Efficient Exploration in Binary and Preferential Bayesian Optimization T. Fauvel M. Chalk 30 7 0 18 Oct 2021
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal J. Doppa 26 16 0 13 Oct 2021