Scalable Global Optimization via Local Bayesian Optimization

3 October 2019

Papers citing "Scalable Global Optimization via Local Bayesian Optimization"

50 / 233 papers shown

Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 74 0 0 29 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 30 1 0 21 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 24 0 0 10 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 108 0 0 02 Apr 2025
End-to-End Optimal Detector Design with Mutual Information Surrogates K. Wozniak Stephen Mulligan J. Kieseler Markus Klute Francois Fleuret Tobias Golling 58 1 0 18 Mar 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization Toby Boyne Jose Pablo Folch Robert M. Lee B. Shafei Ruth Misener GP 59 0 0 07 Mar 2025
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? Anastasia S. Georgiou Daniel Jungen Luise F. Kaven Verena Hunstig Constantine Frangakis Ioannis G. Kevrekidis Alexander Mitsos 41 0 0 05 Mar 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 48 1 0 24 Feb 2025
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions R. Battiti M. Brunato 59 0 0 18 Feb 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization N. Maus Kyurae Kim Yimeng Zeng Haydn Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez J. Gardner 80 0 0 31 Jan 2025
Language-Based Bayesian Optimization Research Assistant (BORA) A. Cissé Xenophon Evangelopoulos V. Gusev Andrew I. Cooper 41 0 0 28 Jan 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 44 0 0 28 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 85 2 0 17 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 49 69 0 08 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 28 1 0 03 Jan 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 26 0 0 31 Dec 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 120 0 0 31 Dec 2024
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 75 1 0 21 Dec 2024
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization Nobuo Namura Sho Takemori 73 0 0 16 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization Xinzheng Wu Junyi Chen Xingyu Xing Jian-jun Sun Ye Tian Lihao Liu Yong Shen 74 0 0 30 Nov 2024
Simulation-Aided Policy Tuning for Black-Box Robot Learning Shiming He Alexander von Rohr Dominik Baumann Ji Xiang Sebastian Trimpe 77 0 0 21 Nov 2024
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators Kishansingh Rajput Malachi Schram Auralee Edelen Jonathan Colen Armen Kasparian Ryan Roussel Adam Carpenter He Zhang Jay Benesch 26 1 0 07 Nov 2024
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Mujin Cheon Jay H. Lee Dong-Yeun Koh Calvin Tsay 28 0 0 31 Oct 2024
Practical Bayesian Algorithm Execution via Posterior Sampling Chu Xin Cheng Raul Astudillo Thomas A. Desautels Yisong Yue 35 0 0 27 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie Shiqiang Zhang J. Paulson Calvin Tsay 28 5 0 22 Oct 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu-Jie Zhang Ivor W. Tsang AAML 42 0 0 16 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 21 0 0 28 Sep 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 25 0 0 27 Sep 2024
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization Gabriel D. Uribe-Guerra Danny A. Múnera-Ramírez Julián D. Arias-Londoño 21 0 0 19 Sep 2024
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 21 1 0 12 Sep 2024
High dimensional Bayesian Optimization via Condensing-Expansion Projection Jiaming Lu Rong J.B. Zhu 29 0 0 09 Aug 2024
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems Markus Grimm Sébastien Paul Pierre Chainais 24 0 0 05 Aug 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey Chenyu Zhang Mingwang Hu Wenhui Li Lanjun Wang 39 15 0 10 Jul 2024
Augmented Bayesian Policy Search Mahdi Kallel Debabrota Basu R. Akrour Carlo DÉramo 40 2 0 05 Jul 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization D. Wu Nikki Lijing Kuang Ruijia Niu Yi-An Ma Rose Yu 45 0 0 30 Jun 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 53 0 0 24 Jun 2024
SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality Joseph Chakar 32 0 0 18 Jun 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 33 2 0 13 Jun 2024
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization? Agustinus Kristiadi Felix Strieth-Kalthoff Sriram Ganapathi Subramanian Vincent Fortuin Pascal Poupart Geoff Pleiss 44 2 0 10 Jun 2024
Physics-Informed Bayesian Optimization of Variational Quantum Circuits K. Nicoli Christopher J. Anders L. Funcke T. Hartung Karl Jansen Stefan Kühn Klaus-Robert Müller Paolo Stornati Pan Kessel Shinichi Nakajima 19 11 0 10 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 40 4 0 07 Jun 2024
Approximation-Aware Bayesian Optimization N. Maus Kyurae Kim Geoff Pleiss David Eriksson John P. Cunningham Jacob R. Gardner 29 1 0 06 Jun 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F. V. Massoli Tim Bakker Thomas M. Hehn Tribhuvanesh Orekondy Arash Behboodi 48 0 0 06 Jun 2024
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation Yueming Lyu Kim yong Tan Yew-Soon Ong Ivor W. Tsang DiffM 28 1 0 02 Jun 2024
Model-Based Diffusion for Trajectory Optimization Chaoyi Pan Zeji Yi Guanya Shi Guannan Qu 45 6 0 28 May 2024
AI-Assisted Detector Design for the EIC (AID(2)E) M. Diefenthaler C. Fanelli L. Gerlach Wen Guan Tanja Horn ... C. Pecar Karthik Suresh Anselm Vossen T. Wang T. Wenaus 29 1 0 25 May 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization Zheyi Fan Wenyu Wang S. Ng Q. Hu 19 1 0 24 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 42 1 0 24 May 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization Anthony Bardou Patrick Thiran Giovanni Ranieri 27 1 0 23 May 2024
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization Wei-Ting Tang J. Paulson 13 1 0 13 May 2024