Maximizing acquisition functions for Bayesian optimization

25 May 2018

Papers citing "Maximizing acquisition functions for Bayesian optimization"

50 / 117 papers shown

Title
Non-Myopic Multifidelity Bayesian Optimization Francesco Di Fiore L. Mainini 11 3 0 13 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 25 22 0 27 Jun 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 25 7 0 25 Jun 2022
Zero-Shot AutoML with Pretrained Models Ekrem Öztürk Fabio Ferreira H. Jomaa Lars Schmidt-Thieme Josif Grabocka Frank Hutter VLM 26 8 0 16 Jun 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 14 19 0 09 Jun 2022
$$\{\text{PF}\}^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization$ $\{\text{PF}\}^2$ ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Jixiang Qing Henry B. Moss T. Dhaene Ivo Couckuyt 18 3 0 11 Apr 2022
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation George De Ath Tinkle Chugh Alma A. M. Rahat 14 4 0 31 Mar 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 21 38 0 21 Mar 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 27 7 0 03 Mar 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 13 10 0 02 Mar 2022
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty Jixiang Qing Ivo Couckuyt T. Dhaene 24 11 0 25 Feb 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 15 36 0 15 Feb 2022
Learning Geometric Constraints in Task and Motion Planning Tianyu Ren Alexander I. Cowen-Rivers H. Ammar Jan Peters 19 2 0 24 Jan 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 20 35 0 02 Jan 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 11 36 0 31 Dec 2021
Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization F. Irshad S. Karsch Andreas Döpp 32 7 0 27 Dec 2021
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding A. Hernández Sebastian Rojas Gonzalez I. Nieuwenhuyse Ivo Couckuyt Jeroen Jordens M. Witters Bart Van Doninck 13 0 0 16 Dec 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs Raul Astudillo Daniel R. Jiang Maximilian Balandat E. Bakshy P. Frazier 8 18 0 12 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 28 1 0 02 Nov 2021
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Armin Hadzic Grace M. Hwang Kechen Zhang Kevin M. Schultz J. Monaco 21 5 0 31 Oct 2021
A comparison of mixed-variables Bayesian optimization approaches Jhouben Cuesta Ramirez Rodolphe Le Riche O. Roustant G. Perrin Cédric Durantin A. Glière 8 17 0 30 Oct 2021
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds Vu-Linh Nguyen M. Deisenroth Michael A. Osborne GP 14 3 0 22 Oct 2021
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 19 9 0 18 Oct 2021
GaussED: A Probabilistic Programming Language for Sequential Experimental Design Matthew A. Fisher Onur Teymur Chris J. Oates 40 1 0 15 Oct 2021
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems Areej AlBahar Inyoung Kim Xiaowei Yue 19 25 0 22 Sep 2021
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 26 6 0 01 Sep 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 24 50 0 24 Jun 2021
Adaptive machine learning for protein engineering B. Hie Kevin Kaichuang Yang 21 80 0 10 Jun 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 23 7 0 20 May 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Sam Daulton Maximilian Balandat E. Bakshy 17 151 0 17 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 76 17 0 23 Apr 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 37 17 0 19 Feb 2021
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 35 26 0 17 Feb 2021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 19 13 0 15 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal Syrine Belakaria J. Doppa Alan Fern 6 22 0 14 Dec 2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization Subhodip Biswas Adam D. Cobb Andreea Sistrunk Naren Ramakrishnan Brian Jalaian 13 8 0 11 Dec 2020
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 18 57 0 08 Nov 2020
Bayesian Variational Optimization for Combinatorial Spaces Tony C Wu Daniel Flam-Shepherd Alán Aspuru-Guzik BDL 17 4 0 03 Nov 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 18 2 0 05 Oct 2020
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks John Daniel Bossér Erik Sörstadius M. Chehreghani 8 14 0 22 Sep 2020
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks S. Vaze C. Foley M. Seddiq Alexey Unagaev N. Efremova 10 1 0 15 Sep 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization Francesco Grassi Giorgio Manganini Michele Garraffa L. Mainini 6 6 0 09 Jul 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer Jacob R. Gardner Roman Garnett 16 44 0 29 Jun 2020
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny Vincent Dutordoir A. Artemev N. Durrande 6 2 0 25 Jun 2020
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization Antonio Candelieri R. Perego F. Archetti 9 16 0 25 Jun 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models Harrison Zhu Xing Liu Ruya Kang Zhichao Shen Seth Flaxman F. Briol TPM 6 5 0 09 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 11 235 0 09 Jun 2020
Global Optimization of Gaussian processes Artur M. Schweidtmann D. Bongartz D. Grothe Tim Kerkenhoff Xiaopeng Lin J. Najman Alexander Mitsos 10 40 0 21 May 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 6 56 0 22 Mar 2020