A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

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Title
Bayesian optimization as a flexible and efficient design framework for sustainable process systems J. Paulson Calvin Tsay TPM 49 13 0 29 Jan 2024
Asymptotic properties of Vecchia approximation for Gaussian processes Myeongjong Kang Florian Schafer J. Guinness Matthias Katzfuss 35 5 0 29 Jan 2024
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Nikolaus Feith Elmar Rueckert 37 1 0 23 Jan 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization Jiazhao Zhang Ying Hung Chung-Ching Lin Zicheng Liu 23 0 0 19 Jan 2024
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach Aron Brenner Rahman Khorramfar D. Mallapragada Saurabh Amin 24 0 0 19 Jan 2024
Automatic dimensionality reduction of Twin-in-the-Loop Observers Giacomo Delcaro Federico Dettù Simone Formentin S. Savaresi 12 0 0 18 Jan 2024
Inverse analysis of granular flows using differentiable graph neural network simulator Yongjin Choi Krishna Kumar AI4CE 32 6 0 17 Jan 2024
Automated Machine Learning for Positive-Unlabelled Learning Jack D. Saunders A. A. Freitas 20 0 0 12 Jan 2024
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry Ahmed Shoyeb Raihan H. Khosravi T. Bhuiyan Imtiaz Ahmed AI4CE 17 7 0 10 Jan 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 30 5 0 05 Jan 2024
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu ... Xin Ning Yugui Zhang Baoli Lu Jian Xu Shuang Li 28 0 0 03 Jan 2024
An Invariant Information Geometric Method for High-Dimensional Online Optimization Zhengfei Zhang Yunyue Wei Yanan Sui 27 1 0 03 Jan 2024
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces Farshud Sorourifar Thomas Banker J. Paulson 32 2 0 02 Jan 2024
Long-run Behaviour of Multi-fidelity Bayesian Optimisation G. Dovonon Jakob Zeitler 29 1 0 19 Dec 2023
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers P. Rodriguez-Fernandez N. T. Howard A. Saltzman S. Kantamneni J. Candy C. Holland M. Balandat Sebastian Ament A. E. White 12 10 0 19 Dec 2023
Path-aware optimistic optimization for a mobile robot Tudor Sântejudean L. Buşoniu 13 2 0 18 Dec 2023
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning Rohan Banerjee Prishita Ray Mark Campbell 19 2 0 16 Dec 2023
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring Hauke Maathuis R. Breuker Saullo G. P. Castro AI4CE 40 1 0 14 Dec 2023
auto-sktime: Automated Time Series Forecasting Marc-André Zöller Marius Lindauer Marco F. Huber AI4TS 34 0 0 13 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms Manon Flageat Bryan Lim Antoine Cully OffRL 25 3 0 12 Dec 2023
Risk-Controlling Model Selection via Guided Bayesian Optimization Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola TPM 21 4 0 04 Dec 2023
Efficient Computation of Sparse and Robust Maximum Association Estimators Pia Pfeiffer Andreas Alfons P. Filzmoser 22 0 0 29 Nov 2023
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization Quang-Huy Nguyen L. P. Hoang Hoang V. Viet Dung D. Le 24 0 0 26 Nov 2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong Jiayue Wan Raul Astudillo Sam Daulton Maximilian Balandat P. Frazier 34 2 0 03 Nov 2023
Communication-Efficient Federated Non-Linear Bandit Optimization Chuanhao Li Chong Liu Yu Wang FedML 27 1 0 03 Nov 2023
Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai Q. Nguyen Sebastian Shenghong Tay Daisuke Urano Richalynn Leong Bryan Kian Hsiang Low Patrick Jaillet 23 4 0 02 Nov 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee Jaewon Chu S. Kim Juyeon Ko Hyunwoo J. Kim BDL 54 6 0 31 Oct 2023
Computational Design of Magnetic Soft Shape-Forming Catheters using the Material Point Method Joshua Davy P. Lloyd J. Chandler Pietro Valdastri 8 0 0 30 Oct 2023
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning Shitong Duan Xiaoyuan Yi Peng Zhang Tun Lu Xing Xie Ning Gu 28 9 0 17 Oct 2023
Auto-LfD: Towards Closing the Loop for Learning from Demonstrations Shaokang Wu Yijin Wang Yanlong Huang 22 0 0 15 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 34 2 0 15 Oct 2023
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 32 0 0 13 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 38 17 0 13 Oct 2023
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints Fengxue Zhang Zejie Zhu Yuxin Chen 43 2 0 12 Oct 2023
Quantum Bayesian Optimization Zhongxiang Dai Gregory Kang Ruey Lau Arun Verma Yao Shu K. H. Low Patrick Jaillet 42 10 0 09 Oct 2023
Serving Deep Learning Model in Relational Databases Alexandre Eichenberger Qi Lin Saif Masood Hong Min Alexander Sim ... Yida Wang Kesheng Wu Binhang Yuan Lixi Zhou Jia Zou 29 1 0 07 Oct 2023
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels Alexander Shmakov Avisek Naug Vineet Gundecha Sahand Ghorbanpour Ricardo Luna Gutierrez Ashwin Ramesh Babu Antonio Guillen-Perez Soumyendu Sarkar 37 11 0 05 Oct 2023
High-dimensional Bayesian Optimization with Group Testing E. Hellsten Carl Hvarfner Leonard Papenmeier Luigi Nardi 43 3 0 05 Oct 2023
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks Jonathan Styrud Matthias Mayr Erik Hellsten Volker Krueger Christian Smith 24 9 0 02 Oct 2023
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 39 0 0 02 Oct 2023
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach Wenjie Xu B. Svetozarevic L. D. Natale P. Heer Colin N. Jones AI4CE 25 11 0 01 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 29 0 0 01 Oct 2023
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning Athanasios Bacharis Konstantinos D. Polyzos H. J. Nelson G. Giannakis Nikolaos Papanikolopoulos 38 1 0 29 Sep 2023
Should you make your decisions on a WhIM? Data-Driven Decision making using a What-If Machine for Evaluation of Hypothetical Scenarios J. Echterhoff Bhaskar Sen Yifei Ren Kévin Bailly 16 0 0 29 Sep 2023
Generating robotic elliptical excisions with human-like tool-tissue interactions Artūras Straižys Michael G. Burke S. Ramamoorthy 15 0 0 21 Sep 2023
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization Hao Hao Xiaoqun Zhang Aimin Zhou 17 16 0 21 Sep 2023
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning A. R. Koblitz Lorenzo Maggi Matthew Andrews 13 0 0 19 Sep 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems Rafael Monteiro K. Sau 29 1 0 14 Sep 2023