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 of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 50 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 17 1 0 13 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 53 9 0 08 May 2024
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design Quan Nguyen Adji Bousso Dieng 46 7 0 03 May 2024
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting Masaki Adachi Satoshi Hayakawa Martin Jørgensen Saad Hamid Harald Oberhauser Michael A. Osborne GP 32 3 0 18 Apr 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 54 5 0 18 Apr 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints Maria Krinner Angel Romero L. Bauersfeld M. Zeilinger Andrea Carron Davide Scaramuzza 47 15 0 26 Mar 2024
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR Yasunori Taguchi H. Gangi 27 0 0 13 Mar 2024
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization Shouri Hu Jiawei Li Zhibo Cai 32 1 0 08 Mar 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization Bach Do Taiwo A. Adebiyi Ruda Zhang 39 4 0 01 Mar 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 32 3 0 01 Mar 2024
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift Xinhao Liu Yingzhao Jiang Zetao Lin 32 0 0 28 Feb 2024
Reinforced In-Context Black-Box Optimization Lei Song Chenxiao Gao Ke Xue Chenyang Wu Dong Li Haifeng Zhang Zongzhang Zhang Chao Qian 35 3 0 27 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Yang Zhang Haiyang Wu Yuekui Yang 43 0 0 21 Feb 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 41 2 0 12 Feb 2024
Strong convexity-guided hyper-parameter optimization for flatter losses Rahul Yedida Snehanshu Saha 24 0 0 07 Feb 2024
Voronoi Candidates for Bayesian Optimization Nathan Wycoff John W. Smith Annie S. Booth R. Gramacy 31 0 0 07 Feb 2024
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 66 48 0 06 Feb 2024
Combining additivity and active subspaces for high-dimensional Gaussian process modeling M. Binois Victor Picheny 28 0 0 06 Feb 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 31 2 0 05 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 34 17 0 03 Feb 2024
Bayesian optimization as a flexible and efficient design framework for sustainable process systems J. Paulson Calvin Tsay TPM 44 13 0 29 Jan 2024
Sample-and-Bound for Non-Convex Optimization Yaoguang Zhai Zhizhen Qin Sicun Gao 22 0 0 09 Jan 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 27 5 0 05 Jan 2024
An Invariant Information Geometric Method for High-Dimensional Online Optimization Zhengfei Zhang Yunyue Wei Yanan Sui 27 1 0 03 Jan 2024
Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design Nobuo Namura 25 1 0 14 Dec 2023
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring Hauke Maathuis R. Breuker Saullo G. P. Castro AI4CE 32 1 0 14 Dec 2023
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence Shengbo Wang Ke Li 18 11 0 06 Dec 2023
A Bayesian approach for prompt optimization in pre-trained language models Antonio Sabbatella Andrea Ponti Antonio Candelieri I. Giordani Francesco Archetti 34 1 0 01 Dec 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 47 12 0 24 Nov 2023
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 45 0 0 19 Nov 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 33 2 0 03 Nov 2023
Communication-Efficient Federated Non-Linear Bandit Optimization Chuanhao Li Chong Liu Yu-Xiang Wang FedML 27 1 0 03 Nov 2023
Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai Q. Nguyen Sebastian Shenghong Tay Daisuke Urano Richalynn Leong Bryan Kian Hsiang Low Patrick Jaillet 15 4 0 02 Nov 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee Jaewon Chu S. Kim Juyeon Ko Hyunwoo J. Kim BDL 49 6 0 31 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 32 2 0 15 Oct 2023
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints Fengxue Zhang Zejie Zhu Yuxin Chen 43 2 0 12 Oct 2023
High-dimensional Bayesian Optimization with Group Testing E. Hellsten Carl Hvarfner Leonard Papenmeier Luigi Nardi 35 3 0 05 Oct 2023
ProGO: Probabilistic Global Optimizer Xinyu Zhang Sujit Ghosh 23 1 0 04 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng-Wei Zhang B. Kailkhura Sijia Liu 30 43 0 03 Oct 2023
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers Xiaoqiang Lin Zhaoxuan Wu Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng Patrick Jaillet Bryan Kian Hsiang Low 32 10 0 02 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 29 0 0 01 Oct 2023
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym E. Raponi Nathanaël Carraz Rakotonirina Jérémy Rapin Carola Doerr O. Teytaud 37 5 0 29 Sep 2023
CNN-based local features for navigation near an asteroid O. Knuuttila A. Kestilä E. Kallio 20 0 0 20 Sep 2023
Towards General and Efficient Online Tuning for Spark Yang Li Huaijun Jiang Yu Shen Yide Fang Xiaofeng Yang ... Xinyi Zhang Wentao Zhang Ce Zhang Peng Chen Tengjiao Wang 29 12 0 05 Sep 2023
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses A. Cissé Xenophon Evangelopoulos Sam Carruthers V. Gusev Andrew I. Cooper 32 4 0 22 Aug 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 30 6 0 25 Jul 2023
Continuation Path Learning for Homotopy Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 23 9 0 24 Jul 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 35 12 0 02 Jul 2023