A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 627 papers shown

Title
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li James Harrison Jascha Narain Sohl-Dickstein Virginia Smith Luke Metz 56 5 0 21 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
Learning policies for resource allocation in business processes J. Middelhuis R. Bianco E. Scherzer Z. A. Bukhsh I. Adan R. Dijkman 19 6 0 19 Apr 2023
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 21 5 0 19 Apr 2023
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 38 31 0 12 Apr 2023
Bayesian Optimization of Catalysis With In-Context Learning Mayk Caldas Ramos Shane S. Michtavy Marc D. Porosoff Andrew D. White BDL 55 30 0 11 Apr 2023
Quantum approximate optimization via learning-based adaptive optimization Lixue Cheng Yu-Qin Chen Shi-Xin Zhang Shengyu Zhang 34 24 0 27 Mar 2023
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers D. Krishnamoorthy J. Paulson 30 4 0 25 Mar 2023
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach Vinícius V. Santana É. Costa C. Rebello A. M. Ribeiro Chris Rackauckas Idelfonso B. R. Nogueira 23 9 0 22 Mar 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 35 2 0 21 Mar 2023
Systematic design space exploration by learning the explored space using Machine Learning Avinash Kumar Anish Kumar Sumit Sharma Surjeet Singh Kumar Vardhan 21 0 0 14 Mar 2023
Discovering Multiple Algorithm Configurations L. Keselman M. Hebert 19 1 0 13 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles Zhiwei Tang Dmitry Rybin Tsung-Hui Chang ALM DiffM 39 26 0 07 Mar 2023
Rapid design of fully soft deployable structures via kirigami cuts and active learning Leixin Ma Mrunmayi Mungekar V. Roychowdhury M. Jawed 10 4 0 04 Mar 2023
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization Ahmad Esmaeili Zahra Ghorrati Eric T. Matson 44 14 0 03 Mar 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings Aryan Deshwal Sebastian Ament Maximilian Balandat E. Bakshy J. Doppa David Eriksson 53 19 0 03 Mar 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 42 22 0 02 Mar 2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB Maria Laura Santoni Elena Raponi R. De Leone Carola Doerr 24 16 0 02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 32 122 0 01 Mar 2023
Fusion of ML with numerical simulation for optimized propeller design Harsh Vardhan Péter Völgyesi J. Sztipanovits 22 7 0 28 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 36 2 0 23 Feb 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles Biswadeep Chakraborty Saibal Mukhopadhyay 18 10 0 22 Feb 2023
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits Yue Kang Cho-Jui Hsieh T. C. Lee 32 1 0 18 Feb 2023
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction Theodoros Theodoropoulos John Violos Stylianos Tsanakas Aris Leivadeas Konstantinos Tserpes T. Varvarigou 13 7 0 09 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 39 56 0 08 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration O. Boyar Ichiro Takeuchi BDL 31 3 0 05 Feb 2023
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins Susheel Dharmadhikari Reid A. Berdanier K. Thole A. Basak 13 0 0 30 Jan 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen 29 45 0 28 Jan 2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints Wenjie Xu Colin N. Jones B. Svetozarevic C. Laughman Ankush Chakrabarty 35 9 0 28 Jan 2023
Learning Reservoir Dynamics with Temporal Self-Modulation Yusuke Sakemi S. Nobukawa Toshitaka Matsuki Takashi Morie Kazuyuki Aihara 24 6 0 23 Jan 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 28 9 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 25 26 0 09 Jan 2023
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 31 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 46 8 0 17 Dec 2022
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation Dimitri Bertsekas 35 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 11 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 35 40 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 32 16 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 32 63 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 20 6 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 30 7 0 21 Nov 2022
Bayesian Optimization of 2D Echocardiography Segmentation Tung Tran Joshua V. Stough Xiaoyan Zhang C. Haggerty 26 3 0 17 Nov 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu Wang 36 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 30 2 0 10 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments Ke Li Renzhi Chen Xin Yao 40 14 0 05 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai Sicun Gao 27 3 0 01 Nov 2022
Atlas: Automate Online Service Configuration in Network Slicing Qiang Liu Nakjung Choi Tao Han 20 7 0 30 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 45 29 0 27 Oct 2022
Bayesian Optimization with Conformal Prediction Sets Samuel Stanton Wesley J. Maddox A. Wilson 47 24 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 24 17 0 21 Oct 2022