Scalable Global Optimization via Local Bayesian Optimization

3 October 2019

Papers citing "Scalable Global Optimization via Local Bayesian Optimization"

50 / 236 papers shown

Title
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics Mike Diessner Joseph O’Connor A. Wynn S. Laizet Yu Guan Kevin J. Wilson Richard D. Whalley 36 18 0 19 Jul 2022
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing Larkin Liu 30 1 0 13 Jul 2022
RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization H. Joy M. Mattheakis P. Protopapas 25 8 0 12 Jul 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search Taehyeon Kim Heesoo Myeong Se-Young Yun 35 2 0 27 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament Carla P. Gomes 16 8 0 16 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization S. Petit Julien Bect E. Vázquez 41 1 0 07 Jun 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution Lixue Cheng Ziyi Yang Chang-Yu Hsieh Ben Liao Shengyu Zhang 27 6 0 19 May 2022
A model aggregation approach for high-dimensional large-scale optimization Haowei Wang Ercong Zhang Szu Hui Ng Giulia Pedrielli 22 1 0 16 May 2022
Self-focusing virtual screening with active design space pruning David E. Graff Matteo Aldeghi Joseph A. Morrone K. E. Jordan Edward O. Pyzer-Knapp Connor W. Coley 32 24 0 03 May 2022
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization Valentin Breaz Richard D. Wilkinson 19 0 0 17 Apr 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 38 114 0 29 Mar 2022
LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization Lihao Liu Tianyue Feng Xingyu Xing Junyi Chen 16 1 0 25 Mar 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 40 89 0 23 Mar 2022
Learning Representation for Bayesian Optimization with Collision-free Regularization Fengxue Zhang Brian D. Nord Yuxin Chen OOD BDL 19 2 0 16 Mar 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 33 7 0 03 Mar 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 21 10 0 02 Mar 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces Jaeyeon Ahn Taehyeon Kim Seyoung Yun 24 0 0 02 Feb 2022
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation M. A. Khan Alexander I. Cowen-Rivers Antoine Grosnit Derrick-Goh-Xin Deik Philippe A. Robert ... Rasul Tutunov Dany Bou-Ammar Jun Wang Amos Storkey Haitham Bou-Ammar 63 22 0 29 Jan 2022
Local Latent Space Bayesian Optimization over Structured Inputs Natalie Maus Haydn Thomas Jones Juston Moore Matt J. Kusner John Bradshaw Jacob R. Gardner BDL 61 70 0 28 Jan 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach Setareh Ariafar Justin Gilmer Zachary Nado Jasper Snoek Rodolphe Jenatton George E. Dahl 38 1 0 15 Dec 2021
Triangulation candidates for Bayesian optimization R. Gramacy Anna Sauer Nathan Wycoff 24 13 0 14 Dec 2021
Two-step Lookahead Bayesian Optimization with Inequality Constraints Yunxiang Zhang Xinming Zhang P. Frazier 27 7 0 06 Dec 2021
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization Yuanlu Bai H. Lam Svitlana Vyetrenko T. Balch 22 10 0 03 Dec 2021
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization Wesley J. Maddox Qing Feng Maximilian Balandat 27 7 0 29 Nov 2021
Searching in the Forest for Local Bayesian Optimization Difan Deng Marius Lindauer 33 2 0 10 Nov 2021
Approximate Neural Architecture Search via Operation Distribution Learning Xingchen Wan Binxin Ru P. Esperança Fabio Maria Carlucci 28 7 0 08 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 24 28 0 28 Oct 2021
A machine learning approach for fighting the curse of dimensionality in global optimization J. Schumann Alejandro M. Aragón 28 2 0 28 Oct 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 13 40 0 27 Oct 2021
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 27 9 0 18 Oct 2021
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing Zhe Liu Nicholas Rolston Austin C. Flick T. Colburn Zekun Ren R. Dauskardt Tonio Buonassisi 32 116 0 01 Oct 2021
Learning Periodic Tasks from Human Demonstrations Jingyun Yang Junwu Zhang Connor Settle Akshara Rai Rika Antonova Jeannette Bohg 104 24 0 28 Sep 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 105 0 22 Sep 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 328 0 20 Sep 2021
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection Yi Shen Carl Kingsford 50 8 0 20 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
Unsupervised Reservoir Computing for Solving Ordinary Differential Equations M. Mattheakis H. Joy P. Protopapas 20 13 0 25 Aug 2021
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers Anh Tran 19 0 0 12 Aug 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference Misha Padidar Xinran Zhu Leo Huang Jacob R. Gardner D. Bindel BDL 19 18 0 08 Jul 2021
Local policy search with Bayesian optimization Sarah Müller Alexander von Rohr Sebastian Trimpe BDL 18 38 0 22 Jun 2021
Learning Space Partitions for Path Planning Kevin Kaichuang Yang Tianjun Zhang Chris Cummins Brandon Cui Benoit Steiner Linnan Wang Joseph E. Gonzalez Dan Klein Yuandong Tian 21 10 0 19 Jun 2021
ChaCha for Online AutoML Qingyun Wu Chi Wang John Langford Paul Mineiro Marco Rossi 29 7 0 09 Jun 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning Antoine Grosnit Rasul Tutunov A. Maraval Ryan-Rhys Griffiths Alexander I. Cowen-Rivers ... Wenlong Lyu Zhitang Chen Jun Wang Jan Peters Haitham Bou-Ammar BDL DRL 22 59 0 07 Jun 2021
Bayesian Optimisation for Constrained Problems Juan Ungredda Juergen Branke 21 13 0 27 May 2021
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains Qiaohao Liang Aldair E. Gongora Zekun Ren A. Tiihonen Zhe Liu ... K. Hippalgaonkar Benji Maruyama Keith A. Brown John W Fisher Iii Tonio Buonassisi 35 118 0 23 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 130 17 0 23 Apr 2021