A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 720 papers shown

Title
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design R. Priem N. Bartoli Y. Diouane A. Sgueglia 143 51 0 11 May 2020
Human Strategic Steering Improves Performance of Interactive OptimizationUser Modeling, Adaptation, and Personalization (UMAP), 2020 Fabio Colella Pedram Daee Jussi P. P. Jokinen Antti Oulasvirta Samuel Kaski LLMSV 178 10 0 04 May 2020
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer LearningNeural Networks (NN), 2020 S. H. Shabbeer Basha Sravan Kumar Vinakota Viswanath Pulabaigari Snehasis Mukherjee S. Dubey 165 48 0 25 Apr 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 198 7 0 22 Apr 2020
The SPDE Approach to Matérn Fields: Graph RepresentationsStatistical Science (Statist. Sci.), 2020 D. Sanz-Alonso Ruiyi Yang 300 21 0 16 Apr 2020
Combinatorial 3D Shape Generation via Sequential Assembly Jungtaek Kim H. Chung Jinhwi Lee Minsu Cho Jaesik Park 227 22 0 16 Apr 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 272 19 0 14 Apr 2020
Bayesian optimisation of large-scale photonic reservoir computersCognitive Computation (Cogn Comput), 2020 P. Antonik N. Marsal Daniel Brunner D. Rontani 167 26 0 06 Apr 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 238 7 0 28 Mar 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information ThresholdingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 251 2 0 23 Mar 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 232 66 0 22 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 201 9 0 20 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 221 625 0 12 Mar 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree ModelsComputers and Chemical Engineering (CCE), 2020 Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 255 56 0 10 Mar 2020
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters Bozhou Chen Kaixin Zhang Longshen Ou Chenmin Ba Hongzhi Wang Chunnan Wang 136 2 0 03 Mar 2020
Adaptive Structural Hyper-Parameter Configuration by Q-LearningIEEE Congress on Evolutionary Computation (CEC), 2020 Haotian Zhang Jianyong Sun Zongben Xu 62 12 0 02 Mar 2020
Mixed Strategies for Robust Optimization of Unknown ObjectivesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 182 11 0 28 Feb 2020
Practical Bayesian Optimization of Objectives with Conditioning Variables Michael Pearce Janis Klaise Matthew J. Groves 201 1 0 23 Feb 2020
Scalable Constrained Bayesian OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 David Eriksson Matthias Poloczek 270 129 0 20 Feb 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian ProcessesINFORMS Journal on Data Science (JIDS), 2020 Seokhyun Chung Raed Al Kontar Zhenke Wu 170 5 0 19 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement LearningTransportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020 Zhenyu Shou Xuan Di 177 64 0 17 Feb 2020
Computing the racing line using Bayesian optimizationIEEE Conference on Decision and Control (CDC), 2020 Achin Jain M. Morari 212 37 0 12 Feb 2020
Uncertainty Quantification for Bayesian OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Rui Tuo Wei Cao UQCV 167 7 0 04 Feb 2020
Self-Directed Online Machine Learning for Topology OptimizationNature Communications (Nat Commun), 2020 Changyu Deng Yizhou Wang Can Qin Yun Fu Wei Lu AI4CE 712 91 0 04 Feb 2020
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings Austin P. Wright H. Wiklicky GNN NAI 151 0 0 24 Jan 2020
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset S. H. Shabbeer Basha Sravan Kumar Vinakota S. Dubey Viswanath Pulabaigari Snehasis Mukherjee 132 5 0 22 Jan 2020
Distributionally Robust Bayesian Quadrature OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Thanh Tang Nguyen Sunil R. Gupta Huong Ha Santu Rana Svetha Venkatesh 98 28 0 19 Jan 2020
Scalable Hyperparameter Optimization with Lazy Gaussian ProcessesWorkshop on Machine Learning in High Performance Computing Environments (LHPCE), 2019 Raju Ram Sabine Müller Franz-Josef Pfreundt N. Gauger J. Keuper GP 72 5 0 16 Jan 2020
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax Daniel T. Chang BDL AI4CE 108 12 0 11 Dec 2019
BERT for Large-scale Video Segment Classification with Test-time Augmentation Tianqi Liu Qizhan Shao 119 4 0 02 Dec 2019
Multi-Attribute Bayesian Optimization With Interactive Preference LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Raul Astudillo P. Frazier 185 37 0 14 Nov 2019
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via RolloutInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Xubo Yue Raed Al Kontar 320 40 0 04 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture SearchAAAI Conference on Artificial Intelligence (AAAI), 2019 Colin White Willie Neiswanger Yash Savani BDL 383 379 0 25 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 255 4 0 21 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 249 97 0 14 Oct 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 189 22 0 09 Oct 2019
mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary LocationStructural And Multidisciplinary Optimization (SMO), 2019 A. Chaudhuri A. Marques Karen E. Willcox 152 33 0 06 Oct 2019
Scalable Global Optimization via Local Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2019 Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 263 579 0 03 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving ModelsJournal of systems architecture (JSA), 2019 Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 134 119 0 02 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 124 33 0 30 Sep 2019
Bayesian Optimization for Iterative LearningNeural Information Processing Systems (NeurIPS), 2019 Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 377 36 0 20 Sep 2019
Prediction of rare feature combinations in population synthesis: Application of deep generative modellingTransportation Research Part C: Emerging Technologies (TRC), 2019 Sergio Garrido S. Borysov Francisco Câmara Pereira Jeppe Rich 104 50 0 17 Sep 2019
Deep Prediction of Investor Interest: a Supervised Clustering ApproachAlgorithmic Finance (AF), 2019 Baptiste Barreau Laurent Carlier D. Challet 94 1 0 11 Sep 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal DynamicsMachine Learning in Health Care (MLHC), 2019 Iñigo Urteaga Tristan Bertin Theresa M. Hardy D. Albers Noémie Elhadad AI4TS AI4CE 74 5 0 27 Aug 2019
Fusing heterogeneous data sets Yipeng Song 98 0 0 23 Aug 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Katharina Eggensperger 175 19 0 19 Aug 2019
BISTRO: Berkeley Integrated System for Transportation Optimization Sidney A. Feygin Jessica R. Lazarus E. Forscher Valentine Golfier-Vetterli Jonathan W. Lee Abhishek Gupta Rashid A. Waraich C. Sheppard Alexandre M. Bayen 142 8 0 10 Aug 2019
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model Dongjun Kim Tae-Sub Yun Il-Chul Moon 94 3 0 09 Aug 2019
Adaptive Compression-based Lifelong LearningBritish Machine Vision Conference (BMVC), 2019 Shivangi Srivastava Maxim Berman Matthew B. Blaschko D. Tuia CLL 153 10 0 23 Jul 2019
Two-stage Optimization for Machine Learning WorkflowInformation Systems (IS), 2019 Alexandre Quemy TPM 104 28 0 01 Jul 2019