A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

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Title
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities Yunchuan Zhang Osvaldo Simeone H. Vincent Poor 27 0 0 16 May 2025
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints Michael Kamfonas 34 0 0 14 May 2025
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics Manish Prajapat Johannes Köhler Amon Lahr Andreas Krause Melanie Zeilinger 38 0 0 12 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 34 0 0 10 May 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization Sanwoo Lee Jiahao Liu Qifan Wang Jie Wang Xunliang Cai Yunfang Wu MoMe 219 0 0 26 Apr 2025
Exploring Pseudo-Token Approaches in Transformer Neural Processes Jose Lara-Rangel Nanze Chen Fengzhe Zhang 32 0 0 19 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 43 0 0 14 Apr 2025
Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks Georgios Makrygiorgos Joshua Hang Sai Ip Ali Mesbah BDL 54 0 0 14 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 32 0 0 14 Apr 2025
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design Robin Grapin Y. Diouane J. Morlier N. Bartoli T. Lefebvre P. Saves J. Bussemaker 28 9 0 11 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 31 0 0 10 Apr 2025
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration Zheyuan Lai Yingming Pu 50 0 0 09 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning Llewyn Salt Marcus Gallagher 33 0 0 09 Apr 2025
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines Chen Liang Diptesh Das Jiang Guo R. Tamura Zetian Mao Koji Tsuda 31 0 0 09 Apr 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization Bojana Ranković P. Schwaller BDL 235 0 0 08 Apr 2025
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making Avijit Saha Asru H. Khosravi I. Imtiaz Ahmed Abdullahil Azeem 191 0 0 05 Apr 2025
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress Lorena Torres Lahoz C. L. Azevedo Leonardo Ancora Paulo Morgado Zenia Kotval Bruno Miranda Francisco Câmara Pereira 32 0 0 03 Apr 2025
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning Shivesh Prakash Viki Kumar Prasad Hans-Arno Jacobsen 41 0 0 03 Apr 2025
Migrating a Job Search Relevance Function Bennett Mountain Gabriel Womark Ritvik Kharkar 35 0 0 02 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 113 0 0 02 Apr 2025
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks Yiming Li Junjie Chen Yuecong Xu Kemi Ding 3DPC 44 0 0 02 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics Ryan Franks A. Miroshnikov 37 0 0 01 Apr 2025
Why risk matters for protein binder design Tudor-Stefan Cotet Igor Krawczuk 51 0 0 31 Mar 2025
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities Yongshuai Liu Taeyeong Choi Xin Liu AI4CE 61 0 0 27 Mar 2025
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework Thomson Yen Andrew Siah Haozhe Chen Tianyi Peng Daniel Guetta Hongseok Namkoong 53 0 0 26 Mar 2025
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction James M. Shihua P. Saves Rhea P. Liem J. Morlier 46 0 0 25 Mar 2025
Fundamental Limits of Perfect Concept Erasure Somnath Basu Roy Chowdhury Avinava Dubey Ahmad Beirami Rahul Kidambi Nicholas Monath Amr Ahmed Snigdha Chaturvedi 66 1 0 25 Mar 2025
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization Yuepeng Qian Jingfeng Xiong Haoyong Yu Chenglong Fu 40 0 0 23 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes Nima Negarandeh Carlos Mora Ramin Bostanabad 55 0 0 18 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 48 0 0 10 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 64 0 0 07 Mar 2025
Bayesian Graph Traversal William N. Caballero Phillip R. Jenkins David Banks Matthew Robbins 44 0 0 07 Mar 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 34 0 0 04 Mar 2025
Improving Oil Slick Trajectory Simulations with Bayesian Optimization Gabriele Accarino Marco M. De Carlo Igor Atake D. Elia Anusha L. Dissanayake ... Juan Peña Ibañez Italo Epicoco P. Nassisi S. Fiore Giovanni Coppini 75 0 0 04 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 47 0 0 04 Mar 2025
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions R. Battiti M. Brunato 66 0 0 18 Feb 2025
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini 67 0 0 06 Feb 2025
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental Sciences Sterling G. Baird Andrew R. Falkowski Taylor D. Sparks 57 0 0 04 Feb 2025
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers Samuele Pedrielli Christopher J. Anders L. Funcke K. Jansen K. Nicoli Shinichi Nakajima 42 0 0 04 Feb 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 55 0 0 28 Jan 2025
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles Kristóf Floch Tamás Péni Roland Tóth 81 0 0 24 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 59 71 0 08 Jan 2025
Robust Gaussian Processes via Relevance Pursuit Sebastian Ament Elizabeth Santorella David Eriksson Ben Letham Maximilian Balandat E. Bakshy GP 41 0 0 08 Jan 2025
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems Wei-Ting Tang Ankush Chakrabarty J. Paulson 76 0 0 31 Dec 2024
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 36 0 0 31 Dec 2024
Uncertainty separation via ensemble quantile regression Navid Ansari Hans-Peter Seidel Vahid Babaei UD UQCV 84 0 0 18 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box Optimization Shukuan Wang Ke Xue Lei Song Xiaobin Huang Chao Qian 68 1 0 10 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 91 0 0 04 Dec 2024
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling Aman Sinha Payam Nikdel Supratik Paul Shimon Whiteson 76 0 0 26 Nov 2024