Papers citing 'A Tutorial on Bayesian Optimization'

Title
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration Zheyuan Lai Yingming Pu 334 2 0 09 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning Llewyn Salt Marcus Gallagher 195 0 0 09 Apr 2025
Large language models as uncertainty-calibrated optimizers for experimental discovery Bojana Ranković Ryan-Rhys Griffiths P. Schwaller BDL 1.1K 3 0 08 Apr 2025
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision MakingThe International Journal of Advanced Manufacturing Technology (IJAMT), 2025 Avijit Saha Asru H. Khosravi I. Imtiaz Ahmed Abdullahil Azeem 902 3 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 119 0 0 03 Apr 2025
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning Shivesh Prakash Viki Kumar Prasad Hans-Arno Jacobsen Viki Kumar Prasad 265 0 0 03 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable SelectionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 323 0 0 02 Apr 2025
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial AttacksIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Haoyang Li Junjie Chen Yuecong Xu Kemi Ding 3DPC 403 0 0 02 Apr 2025
Migrating a Job Search Relevance Function Bennett Mountain Gabriel Womark Ritvik Kharkar 116 0 0 02 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics Ryan Franks A. Miroshnikov Konstandinos Kotsiopoulos 340 0 0 01 Apr 2025
Why risk matters for protein binder design Tudor-Stefan Cotet Igor Krawczuk 360 0 0 31 Mar 2025
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities Yongshuai Liu Taeyeong Choi Xin Liu AI4CE 183 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 327 1 0 26 Mar 2025
Fundamental Limits of Perfect Concept ErasureInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Somnath Basu Roy Chowdhury Avinava Dubey Ahmad Beirami Rahul Kidambi Nicholas Monath Amr Ahmed Snigdha Chaturvedi 266 3 0 25 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 203 2 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 124 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 322 10 0 21 Mar 2025
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes Nima Negarandeh Carlos Mora Ramin Bostanabad 266 0 0 18 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2025 Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 323 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 349 2 0 07 Mar 2025
Bayesian Graph TraversalDecision Analytics (DA), 2025 William N. Caballero Phillip R. Jenkins David Banks Matthew Robbins 223 0 0 07 Mar 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 346 1 0 04 Mar 2025
Improving Oil Slick Trajectory Simulations with Bayesian OptimizationEcological Informatics (Ecol. Inform.), 2025 Gabriele Accarino Marco M. De Carlo Igor Atake D. Elia Anusha L. Dissanayake ... Juan Peña Ibañez Italo Epicoco P. Nassisi S. Fiore Giovanni Coppini 214 2 0 04 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 204 0 0 04 Mar 2025
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions R. Battiti M. Brunato 220 0 0 18 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable GuaranteesConference on Uncertainty in Artificial Intelligence (UAI), 2025 Ally Yalei Du Eric Huang Dravyansh Sharma 395 2 0 18 Feb 2025
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz ConstantsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini 251 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 123 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 169 1 0 04 Feb 2025
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and GenerationInternational Conference on Learning Representations (ICLR), 2025 Xingchen Wan Han Zhou Ruoxi Sun Hootan Nakhost Ke Jiang Sercan Ö. Arık ReLM OffRL LRM 253 14 0 01 Feb 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 384 1 0 28 Jan 2025
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground VehiclesIEEE Transactions on Control Systems Technology (IEEE TCST), 2025 Kristóf Floch Tamás Péni Roland Tóth 357 1 0 24 Jan 2025
Robust Gaussian Processes via Relevance PursuitNeural Information Processing Systems (NeurIPS), 2024 Sebastian Ament Elizabeth Santorella David Eriksson Ben Letham Maximilian Balandat E. Bakshy GP 256 6 0 08 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023 Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 320 142 0 08 Jan 2025
Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approachnpj Computational Materials (npj Comput. Mater.), 2025 Pranoy Ray Adam P. Generale Nikhith Vankireddy Yuichiro Asoma Masataka Nakauchi Haein Lee Katsuhisa Yoshida Yoshishige Okuno Surya R. Kalidindi 216 4 0 06 Jan 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied SystemsConference on Robot Learning (CoRL), 2024 Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 308 3 0 31 Dec 2024
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation Yizhe Li Linrui Zhang Xueqian Wang Houde Liu Bin Liang 70 0 0 23 Dec 2024
Uncertainty separation via ensemble quantile regression Navid Ansari Hans-Peter Seidel Vahid Babaei UD UQCV 338 0 0 18 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box OptimizationNeural Information Processing Systems (NeurIPS), 2024 Shukuan Wang Ke Xue Lei Song Xiaobin Huang Chao Qian 267 6 0 10 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 365 1 0 04 Dec 2024
Rate-Informed Discovery via Bayesian Adaptive Multifidelity SamplingConference on Robot Learning (CoRL), 2024 Aman Sinha Payam Nikdel Supratik Paul Shimon Whiteson 260 0 0 26 Nov 2024
Collaborative and Federated Black-box Optimization: A Bayesian Optimization PerspectiveBigData Congress [Services Society] (BSS), 2024 Raed Al Kontar FedML 229 1 0 12 Nov 2024
SPGD: Steepest Perturbed Gradient Descent Optimization Amir M. Vahedi Horea T. Ilies 220 2 0 07 Nov 2024
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness Abdelmajid Essofi Ridwan Salahuddeen Munachiso Nwadike Elnura Zhalieva Kun Zhang Eric P. Xing Willie Neiswanger Qirong Ho VLM 224 0 0 06 Nov 2024
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy Alif Bin Abdul Qayyum S. Mertins Amanda K. Paulson Nathan M. Urban Byung-Jun Yoon 193 0 0 05 Nov 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Jianyi Zhang Da-Cheng Juan Cyrus Rashtchian Chun-Sung Ferng Heinrich Jiang Yiran Chen 359 13 0 01 Nov 2024
Residual Deep Gaussian Processes on ManifoldsInternational Conference on Learning Representations (ICLR), 2024 Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 246 2 0 31 Oct 2024
Practical Bayesian Algorithm Execution via Posterior SamplingNeural Information Processing Systems (NeurIPS), 2024 Chu Xin Cheng Raul Astudillo Thomas Desautels Yisong Yue 236 1 0 27 Oct 2024
Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need Runzhen Xue Hao Wu Yurui Lai Ziheng Xiao Mingyu Yan Xiaochun Ye Dongrui Fan 222 3 0 24 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel ApproximationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Yilin Xie Shiqiang Zhang J. Paulson Calvin Tsay 229 7 0 22 Oct 2024