A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 647 papers shown

Title
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 75 10 0 11 Jan 2023
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators Filip Bjelonic Joonho Lee Philip Arm Dhionis V. Sako Davide Tateo Jan Peters Marco Hutter 67 26 0 09 Jan 2023
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 55 1 0 21 Dec 2022
On Noisy Evaluation in Federated Hyperparameter Tuning Kevin Kuo Pratiksha Thaker M. Khodak John Nguyen Daniel Jiang Ameet Talwalkar Virginia Smith FedML 115 8 0 17 Dec 2022
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation Dimitri Bertsekas 65 3 0 15 Dec 2022
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 35 11 0 07 Dec 2022
GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths Leo Klarner Henry B. Moss Aditya Ravuri Sang T. Truong ... A. Lee Bingqing Cheng Alán Aspuru-Guzik P. Schwaller Jian Tang GP 81 43 0 06 Dec 2022
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 74 19 0 01 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 74 72 0 30 Nov 2022
Control and Morphology Optimization of Passive Asymmetric Structures for Robotic Swimming Nana Obayashi Andrea Vicari Kai Junge Kamran Shakir Josie Hughes 37 7 0 24 Nov 2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 70 8 0 21 Nov 2022
Bayesian Optimization of 2D Echocardiography Segmentation Tung Tran Joshua V. Stough Xiaoyan Zhang C. Haggerty 46 4 0 17 Nov 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu Wang 65 7 0 16 Nov 2022
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm Buse Sibel Korkmaz Marta Zagórowska Mehmet Mercangöz 61 2 0 10 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments Ke Li Renzhi Chen Xin Yao 76 18 0 05 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai Sicun Gao 37 3 0 01 Nov 2022
Atlas: Automate Online Service Configuration in Network Slicing Qiang Liu Nakjung Choi Tao Han 42 8 0 30 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 101 32 0 27 Oct 2022
Bayesian Optimization with Conformal Prediction Sets Samuel Stanton Wesley J. Maddox A. Wilson 147 26 0 22 Oct 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards Yekun Chai Shuohuan Wang Yu Sun Hao Tian Hua Wu Haifeng Wang VLM 87 17 0 21 Oct 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 82 2 0 20 Oct 2022
Discovering Many Diverse Solutions with Bayesian Optimization Natalie Maus Kaiwen Wu David Eriksson Jacob R. Gardner 131 25 0 20 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 96 39 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 90 62 0 16 Oct 2022
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney UQCV 72 6 0 14 Oct 2022
Query Expansion Using Contextual Clue Sampling with Language Models Linqing Liu Minghan Li Jimmy J. Lin Sebastian Riedel Pontus Stenetorp 61 11 0 13 Oct 2022
Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai Yao Shu Bryan Kian Hsiang Low Patrick Jaillet AAML 67 25 0 13 Oct 2022
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with $ε$ -greedy acquisition function Rui Zhong En-zhan Zhang M. Munetomo 91 0 0 13 Oct 2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions Yongsheng Mei Tian-Shing Lan Mahdi Imani Suresh Subramaniam GP 83 17 0 13 Oct 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design Ji Won Park Samuel Stanton Saeed Saremi Andrew Watkins Henri Dwyer Vladimir Gligorijević Richard Bonneau Stephen Ra Kyunghyun Cho 75 12 0 08 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 93 39 0 06 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 119 34 0 04 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 84 30 0 03 Oct 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning Péter Antal Tamás Péni R. Tóth 83 8 0 29 Sep 2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations Blaž Škrlj A. Schwartz Jure Ferlez Davorin Kopic Naama Ziporin LRM 21 1 0 29 Sep 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 85 21 0 22 Sep 2022
Periodic Extrapolative Generalisation in Neural Networks Peter Belcak Roger Wattenhofer 68 3 0 21 Sep 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 130 1 0 14 Sep 2022
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 109 28 0 10 Sep 2022
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models Jared Lichtarge Chris Alberti Shankar Kumar 88 4 0 10 Sep 2022
Co-Imitation: Learning Design and Behaviour by Imitation C. Rajani Karol Arndt David Blanco Mulero K. Luck Ville Kyrki 63 4 0 02 Sep 2022
Optimistic Optimization of Gaussian Process Samples Julia Grosse Cheng Zhang Philipp Hennig GP 69 0 0 02 Sep 2022
Computational design of antimicrobial active surfaces via automated Bayesian optimization Hanfeng Zhai J. Yeo AI4CE 13 7 0 31 Aug 2022
Bayesian Optimization-based Combinatorial Assignment Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 58 11 0 31 Aug 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 76 29 0 26 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 61 3 0 04 Aug 2022
DeepProphet2 -- A Deep Learning Gene Recommendation Engine Daniel Brambilla Davide Giacomini Luca Muscarnera Andrea Mazzoleni 56 1 0 03 Aug 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 75 21 0 02 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 81 3 0 30 Jul 2022
Inference of Regulatory Networks Through Temporally Sparse Data Mohammad Alali Mahdi Imani 51 17 0 21 Jul 2022