Scalable Global Optimization via Local Bayesian Optimization

3 October 2019

Papers citing "Scalable Global Optimization via Local Bayesian Optimization"

50 / 236 papers shown

Title
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction Yunchuan Zhang Sangwoo Park Osvaldo Simeone 19 8 0 30 Jun 2023
Macro Placement by Wire-Mask-Guided Black-Box Optimization Yunqi Shi Ke Xue Lei Song Chaojun Qian 24 11 0 29 Jun 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization Kamil Dreczkowski Antoine Grosnit Haitham Bou-Ammar 26 7 0 16 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 28 5 0 09 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 24 4 0 08 Jun 2023
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization Y. Li Tim G. J. Rudner A. Wilson BDL 32 28 0 31 May 2023
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou Patrick Thiran Thomas Begin 16 4 0 31 May 2023
The Behavior and Convergence of Local Bayesian Optimization Kaiwen Wu Kyurae Kim Roman Garnett Jacob R. Gardner 45 9 0 24 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 52 0 0 23 May 2023
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 34 1 0 15 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 32 4 0 04 May 2023
Network Cascade Vulnerability using Constrained Bayesian Optimization Albert Y. S. Lam M. Anitescu A. Subramanyam 22 0 0 27 Apr 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 24 36 0 22 Apr 2023
Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance Shuhei Watanabe 19 120 0 21 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
Quantum approximate optimization via learning-based adaptive optimization Lixue Cheng Yu-Qin Chen Shi-Xin Zhang Shengyu Zhang 29 24 0 27 Mar 2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 36 7 0 23 Mar 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings Aryan Deshwal Sebastian Ament Maximilian Balandat E. Bakshy J. Doppa David Eriksson 51 19 0 03 Mar 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB Maria Laura Santoni E. Raponi R. De Leone Carola Doerr 21 15 0 02 Mar 2023
Robust expected improvement for Bayesian optimization R. Christianson R. Gramacy 23 9 0 16 Feb 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 16 4 0 16 Feb 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
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 30 56 0 08 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration O. Boyar Ichiro Takeuchi BDL 26 3 0 05 Feb 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek Haitham Bou-Ammar 41 22 0 30 Jan 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi Satoshi Hayakawa Saad Hamid Martin Jørgensen Harald Oberhauser M. A. Osborne 31 7 0 27 Jan 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 32 24 0 24 Jan 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 22 9 0 11 Jan 2023
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Shuhei Watanabe Frank Hutter 25 10 0 26 Nov 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 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
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings Shuhei A Horiguchi Tomoharu Iwata Taku Tsuzuki Yosuke Ozawa 16 1 0 02 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai Sicun Gao 25 3 0 01 Nov 2022
Bayesian Optimization with Conformal Prediction Sets Samuel Stanton Wesley J. Maddox A. Wilson 43 24 0 22 Oct 2022
Local Bayesian optimization via maximizing probability of descent Quan Nguyen Kaiwen Wu Jacob R. Gardner Roman Garnett 25 23 0 21 Oct 2022
Discovering Many Diverse Solutions with Bayesian Optimization Natalie Maus Kaiwen Wu David Eriksson Jacob R. Gardner 24 23 0 20 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 27 36 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai Yao Shu Bryan Kian Hsiang Low Patrick Jaillet AAML 33 24 0 13 Oct 2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions Yongsheng Mei Tian-Shing Lan Mahdi Imani Suresh Subramaniam GP 27 16 0 13 Oct 2022
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization Lei Cui Yangguang Li Xin Lu Dong An Fenggang Liu BDL 26 0 0 07 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 14 34 0 04 Oct 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 42 7 0 22 Sep 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 37 1 0 14 Sep 2022
Optimistic Optimization of Gaussian Process Samples Julia Grosse Cheng Zhang Philipp Hennig GP 16 0 0 02 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) Alexander E. Siemenn Zekun Ren Qianxiao Li Tonio Buonassisi 46 23 0 26 Aug 2022
Event-Triggered Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Friedrich Solowjow Sebastian Trimpe 15 7 0 23 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022