A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 721 papers shown

Title
Online Optimization of Central Pattern Generators for Quadruped LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Zewei Zhang Guillaume Bellegarda M. Shafiee A. Ijspeert 199 7 0 21 Oct 2024
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path PlanningIEEE International Conference on Robotics and Automation (ICRA), 2024 Alexander Kiessling Ignacio Torroba Chelsea Sidrane Ivan Stenius Jana Tumova John Folkesson 126 1 0 21 Oct 2024
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application Bruno Guindani Davide Gadioli Roberto Rocco Danilo Ardagna G. Palermo 129 1 0 18 Oct 2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability Nazanin Nezami Hadis Anahideh 188 1 0 18 Oct 2024
Optimizing Collaborative Robotics since Pre-Deployment via Cyber-Physical Systems' Digital TwinsIEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2024 Christian Cella Marco Faroni Andrea Zanchettin Paolo Rocco AI4CE 103 0 0 18 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model SplittingIEEE Transactions on Parallel and Distributed Systems (TPDS), 2024 Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 212 7 0 12 Oct 2024
Efficient Hyperparameter Importance Assessment for CNNs Ruinan Wang Ian Nabney Mohammad Golbabaee 57 1 0 11 Oct 2024
Batched Energy-Entropy acquisition for Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024 Felix Teufel Carsten Stahlhut J. Ferkinghoff-Borg 153 1 0 11 Oct 2024
MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA Hanrong Ye Haotian Zhang Erik Daxberger Lin Chen Zongyu Lin ... Haoxuan You Dan Xu Zhe Gan Jiasen Lu Yinfei Yang EgoV MLLM 287 18 0 09 Oct 2024
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human PreferencesInternational Conference on Learning Representations (ICLR), 2024 Genta Indra Winata David Anugraha Lucky Susanto Garry Kuwanto Derry Wijaya 555 17 0 03 Oct 2024
Optimization of Actuarial Neural Networks with Response Surface Methodology Belguutei Ariuntugs Kehelwala Dewage Gayan Madurang 78 0 0 01 Oct 2024
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular ResearchNature Computational Science (Nat. Comput. Sci.), 2024 Victor Sabanza Gil Riccardo Barbano Daniel Pacheco Gutiérrez J. Luterbacher José Miguel Hernández-Lobato Philippe Schwaller Loïc Roch 378 10 0 01 Oct 2024
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design Jake Callahan Kevin Monogue Ruben Villarreal Tommie A. Catanach 120 1 0 27 Sep 2024
Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style AnnealingIEEE International Conference on Robotics and Automation (ICRA), 2024 Haoru Xue Chaoyi Pan Zeji Yi Guannan Qu Guanya Shi 239 47 0 23 Sep 2024
Supply Risk-Aware Alloy Discovery and Design Mrinalini Mulukutla Robert Robinson Danial Khatamsaz Brent Vela Nhu Vu Raymundo Arroyave 153 1 0 22 Sep 2024
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization Gabriel D. Uribe-Guerra Danny A. Múnera-Ramírez Julián D. Arias-Londoño 173 0 0 19 Sep 2024
EffiTune: Diagnosing and Mitigating Training Inefficiency for Parameter Tuner in Robot Navigation System Shiwei Feng Xuan Chen Zikang Xiong Zhiyuan Cheng Yifei Gao Siyuan Cheng Sayali Kate Xiangyu Zhang OffRL 291 0 0 17 Sep 2024
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 165 2 0 12 Sep 2024
$Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation$ Federated $\mathcal{X}$ -armed Bandit with Flexible Personalisation Ali Arabzadeh James A. Grant David S. Leslie FedML 161 0 0 11 Sep 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces Aryan Deshwal Sait Cakmak Yuhou Xia David Eriksson 192 0 0 09 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 191 6 0 02 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation MechanismInternational Conference on Information and Knowledge Management (CIKM), 2024 Xiaoyan Yu Yifan Wei Pu Li Shuaishuai Zhou Hao Peng Li Sun Liehuang Zhu Philip S. Yu FedML 286 3 0 01 Sep 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 261 1 0 30 Aug 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin ViT 204 10 0 22 Aug 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series ForecastingInternational Conference on Quantum Computing and Engineering (QCE), 2024 Abdallah Aaraba Soumaya Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 192 2 0 21 Aug 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Chen Liang Koji Tsuda 208 1 0 19 Aug 2024
Differentiating Policies for Non-Myopic Bayesian Optimization Darian Nwankwo David Bindel 151 0 0 14 Aug 2024
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management SystemsKnowledge Discovery and Data Mining (KDD), 2024 Taeyoung Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon Kyujin Choi Yoohyeon Lee Jinkyoo Park 286 2 0 14 Aug 2024
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach Daniel Lengyel P. Parpas B. Hamzi H. Owhadi 187 4 0 12 Aug 2024
BoFire: Bayesian Optimization Framework Intended for Real Experiments Johannes P. Dürholt Thomas S Asche Johanna Kleinekorte Gabriel Mancino-Ball Benjamin Schiller ... Robert M. Lee Dominik Linzner David Walz Niklas Wulkow B. Shafei AI4CE 195 4 0 09 Aug 2024
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos ExpansionsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024 Felix Schneider I. Papaioannou Bruno Sudret Gerhard Muller 170 1 0 07 Aug 2024
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection Hong Guan Yancheng Wang Lulu Xie Soham Nag Rajeev Goel ... Yingzhen Yang Chaowei Xiao Jonathan Prisby Ross Maciejewski Jia Zou 251 7 0 03 Aug 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes Liam Hebert Sukhdeep S. Sodhi 191 0 0 01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 199 0 0 01 Aug 2024
Surrogate-guided optimization in quantum networks Luise Prielinger Á. G. Iñesta Gayane Vardoyan 130 0 0 24 Jul 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 214 0 0 16 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 263 3 0 08 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 444 0 0 30 Jun 2024
Modularity Based Community Detection in Hypergraphs Bogumił Kamiński Paweł Misiorek P. Prałat François Théberge 124 12 0 25 Jun 2024
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool Harsh Vardhan U. Timalsina Michael Sandborn David Hyde Péter Völgyesi J. Sztipanovits 134 1 0 24 Jun 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 319 2 0 24 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 284 36 0 10 Jun 2024
Physics-Informed Bayesian Optimization of Variational Quantum CircuitsNeural Information Processing Systems (NeurIPS), 2024 K. Nicoli Christopher J. Anders L. Funcke T. Hartung Karl Jansen Stefan Kühn Klaus-Robert Müller Paolo Stornati Pan Kessel Shinichi Nakajima 113 19 0 10 Jun 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F. V. Massoli Tim Bakker Thomas M. Hehn Tribhuvanesh Orekondy Arash Behboodi 259 0 0 06 Jun 2024
Approximation-Aware Bayesian Optimization Natalie Maus Kyurae Kim Geoff Pleiss David Eriksson John P. Cunningham Jacob R. Gardner 314 5 0 06 Jun 2024
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems Wei-Ting Tang Ankush Chakrabarty J. Paulson 534 2 0 05 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing Becky D Langdon Robert M. Lee B. Shafei Mark van der Wilk Calvin Tsay Ruth Misener 243 3 0 04 Jun 2024
A Bayesian Approach to Online Planning Nir Greshler David Ben-Eli Carmel Rabinovitz Gabi Guetta Liran Gispan Guy Zohar Aviv Tamar 165 1 0 04 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 211 7 0 29 May 2024
Relevance-aware Algorithmic Recourse Dongwhi Kim Nuno Moniz 187 0 0 29 May 2024