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A Tutorial on Bayesian Optimization

A Tutorial on Bayesian Optimization

8 July 2018
P. Frazier
    GP
ArXiv (abs)PDFHTML

Papers citing "A Tutorial on Bayesian Optimization"

50 / 647 papers shown
Title
A Variational Information Theoretic Approach to Out-of-Distribution Detection
A Variational Information Theoretic Approach to Out-of-Distribution Detection
Sudeepta Mondal
Zhuolin Jiang
G. Sundaramoorthi
20
0
0
17 Jun 2025
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
Hwanwoo Kim
Chong Liu
Yuxin Chen
20
0
0
13 Jun 2025
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
Chengtian Ma
Yunyue Wei
Chenhui Zuo
Chen Zhang
Yanan Sui
62
0
0
11 Jun 2025
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
Petar Jakuš
Hrvoje Džapo
23
0
0
10 Jun 2025
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
Toby Boyne
Juan S. Campos
Becky D Langdon
Jixiang Qing
Yilin Xie
...
Kim E. Jelfs
Sarah Boyall
Thomas M. Dixon
Linden Schrecker
Jose Pablo Folch
22
0
0
09 Jun 2025
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Rong-Xi Tan
Ming Chen
Ke Xue
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
15
0
0
08 Jun 2025
Scalable Gaussian Processes with Latent Kronecker Structure
Scalable Gaussian Processes with Latent Kronecker Structure
Jihao Andreas Lin
Sebastian Ament
Maximilian Balandat
David Eriksson
José Miguel Hernández-Lobato
E. Bakshy
15
0
0
07 Jun 2025
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Shogo Iwazaki
GP
51
0
0
02 Jun 2025
RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
Jiawei Fang
Yuxuan Sun
Chengtian Ma
Qiuyu Lu
Lining Yao
26
0
0
30 May 2025
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
Yezhuo Li
Qiong Zhang
Madhura Limaye
Gang Li
15
0
0
30 May 2025
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Qinglin Zhu
Runcong Zhao
Hanqi Yan
Yulan He
Yudong Chen
Lin Gui
LRM
28
0
0
30 May 2025
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
Aya Kayal
Sattar Vakili
Laura Toni
Da-shan Shiu
A. Bernacchia
34
0
0
29 May 2025
Global optimization of graph acquisition functions for neural architecture search
Global optimization of graph acquisition functions for neural architecture search
Yilin Xie
Shiqiang Zhang
Jixiang Qing
Ruth Misener
Calvin Tsay
52
0
0
29 May 2025
Composable Cross-prompt Essay Scoring by Merging Models
Composable Cross-prompt Essay Scoring by Merging Models
Sanwoo Lee
Kun Liang
Yunfang Wu
MoMe
53
0
0
24 May 2025
Sparse Activation Editing for Reliable Instruction Following in Narratives
Sparse Activation Editing for Reliable Instruction Following in Narratives
Runcong Zhao
Chengyu Cao
Qinglin Zhu
Xiucheng Lv
Shun Shao
Lin Gui
Ruifeng Xu
Yulan He
49
0
0
22 May 2025
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
Zirui Song
Qian Jiang
Mingxuan Cui
Mingzhe Li
Lang Gao
...
Yanbo Wang
Chenxi Wang
Guangxian Ouyang
Zhenhao Chen
Xiuying Chen
AuLLMAAML
96
0
0
21 May 2025
Steering Generative Models with Experimental Data for Protein Fitness Optimization
Steering Generative Models with Experimental Data for Protein Fitness Optimization
Jason Yang
Wenda Chu
Daniel Khalil
Raul Astudillo
Bruce J. Wittmann
Frances H. Arnold
Yisong Yue
123
2
0
21 May 2025
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads
Rebecca Pelke
Nils Bosbach
Lennart M. Reimann
Rainer Leupers
121
0
0
19 May 2025
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
Si-Yang Liu
Qile Zhou
Han-Jia Ye
LMTDLRM
101
0
0
19 May 2025
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
Yunchuan Zhang
Osvaldo Simeone
H. Vincent Poor
52
0
0
16 May 2025
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints
Michael Kamfonas
56
0
0
14 May 2025
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
Manish Prajapat
Johannes Köhler
Amon Lahr
Andreas Krause
Melanie Zeilinger
207
0
0
12 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Chunyi Yue
Ang Li
60
0
0
10 May 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
Sanwoo Lee
Jiahao Liu
Qifan Wang
Jiadong Wang
Xunliang Cai
Yunfang Wu
MoMe
462
1
0
26 Apr 2025
Exploring Pseudo-Token Approaches in Transformer Neural Processes
Exploring Pseudo-Token Approaches in Transformer Neural Processes
Jose Lara-Rangel
Nanze Chen
Fengzhe Zhang
56
0
0
19 Apr 2025
Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
Georgios Makrygiorgos
Joshua Hang Sai Ip
Ali Mesbah
BDL
88
1
0
14 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers
Rui Zhang
Liang Li
Stéphane Lanteri
Hao Kang
Jiaqi Li
68
0
0
14 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Timur Carstensen
Neeratyoy Mallik
Frank Hutter
Martin Rapp
AI4CE
84
1
0
14 Apr 2025
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
Robin Grapin
Y. Diouane
J. Morlier
N. Bartoli
T. Lefebvre
P. Saves
J. Bussemaker
66
9
0
11 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization
Gradient-based Sample Selection for Faster Bayesian Optimization
Qiyu Wei
Haowei Wang
Zirui Cao
Songhao Wang
Richard Allmendinger
Mauricio A Álvarez
89
1
0
10 Apr 2025
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
Chen Liang
Diptesh Das
Jiang Guo
R. Tamura
Zetian Mao
Koji Tsuda
47
0
0
09 Apr 2025
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
Zheyuan Lai
Yingming Pu
146
1
0
09 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
Llewyn Salt
Marcus Gallagher
72
0
0
09 Apr 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
Bojana Ranković
P. Schwaller
BDL
483
1
0
08 Apr 2025
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
Avijit Saha Asru
H. Khosravi
I. Imtiaz Ahmed
Abdullahil Azeem
436
0
0
05 Apr 2025
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress
Lorena Torres Lahoz
C. L. Azevedo
Leonardo Ancora
Paulo Morgado
Zenia Kotval
Bruno Miranda
Francisco Câmara Pereira
44
0
0
03 Apr 2025
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
Shivesh Prakash
Viki Kumar Prasad
Hans-Arno Jacobsen
92
0
0
03 Apr 2025
Migrating a Job Search Relevance Function
Migrating a Job Search Relevance Function
Bennett Mountain
Gabriel Womark
Ritvik Kharkar
45
0
0
02 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection
High Dimensional Bayesian Optimization using Lasso Variable Selection
Vu Viet Hoang
Hung The Tran
Sunil R. Gupta
Vu Nguyen
179
0
0
02 Apr 2025
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Haoyang Li
Junjie Chen
Yuecong Xu
Kemi Ding
3DPC
89
0
0
02 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics
Explainable post-training bias mitigation with distribution-based fairness metrics
Ryan Franks
A. Miroshnikov
74
0
0
01 Apr 2025
Why risk matters for protein binder design
Why risk matters for protein binder design
Tudor-Stefan Cotet
Igor Krawczuk
114
0
0
31 Mar 2025
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities
Yongshuai Liu
Taeyeong Choi
Xin Liu
AI4CE
93
0
0
27 Mar 2025
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Thomson Yen
Andrew Siah
Haozhe Chen
Tianyi Peng
Daniel Guetta
Hongseok Namkoong
80
0
0
26 Mar 2025
Fundamental Limits of Perfect Concept Erasure
Fundamental Limits of Perfect Concept Erasure
Somnath Basu Roy Chowdhury
Avinava Dubey
Ahmad Beirami
Rahul Kidambi
Nicholas Monath
Amr Ahmed
Snigdha Chaturvedi
107
1
0
25 Mar 2025
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
James M. Shihua
P. Saves
Rhea P. Liem
J. Morlier
68
0
0
25 Mar 2025
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization
Yuepeng Qian
Jingfeng Xiong
Haoyong Yu
Chenglong Fu
55
0
0
23 Mar 2025
Offline Model-Based Optimization: Comprehensive Review
Offline Model-Based Optimization: Comprehensive Review
Minsu Kim
Jiayao Gu
Ye Yuan
Taeyoung Yun
Ziqiang Liu
Yoshua Bengio
Can Chen
OffRL
121
4
0
21 Mar 2025
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes
Nima Negarandeh
Carlos Mora
Ramin Bostanabad
101
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0
18 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra
Gregory Kang Ruey Lau
Szu Hui Ng
Bryan Kian Hsiang Low
PINN
108
0
0
10 Mar 2025
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