ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.02811
  4. Cited By
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 / 721 papers shown
Quantum feature encoding optimization
Quantum feature encoding optimization
Tommaso Fioravanti
Brian Quanz
Gabriele Agliardi
Edgar Andres Ruiz Guzman
Ginés Carrascal
Jae-eun Park
AI4CE
173
0
0
02 Dec 2025
Robust Tabular Foundation Models
Robust Tabular Foundation Models
Matthew Peroni
Franck Le
Vadim Sheinin
AAML
209
0
0
02 Dec 2025
Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management
Yunchuan Zhang
Jiechen Chen
Junshuo Liu
Robert C. Qiu
81
0
0
01 Dec 2025
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
Ahmad Tarraf
Koutaiba Kassem-Manthey
Seyed Ali Mohammadi
Philipp Martin
Lukas Moj
Semih Burak
Enju Park
Christian Terboven
F. Wolf
AI4CE
23
0
0
27 Nov 2025
Automated Design Optimization via Strategic Search with Large Language Models
Automated Design Optimization via Strategic Search with Large Language Models
Anthony Carreon
Vansh Sharma
Venkat Raman
65
1
0
27 Nov 2025
FxSearcher: gradient-free text-driven audio transformation
FxSearcher: gradient-free text-driven audio transformation
Hojoon Ki
Jongsuk Kim
Minchan Kwon
Junmo Kim
127
0
0
18 Nov 2025
Skewness-Robust Causal Discovery in Location-Scale Noise Models
Skewness-Robust Causal Discovery in Location-Scale Noise Models
Daniel Klippert
Alexander Marx
CML
168
0
0
18 Nov 2025
Function-on-Function Bayesian Optimization
Function-on-Function Bayesian Optimization
Jingru Huang
Haijie Xu
Manrui Jiang
Chen Zhang
85
0
0
16 Nov 2025
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
Debashis Chatterjee
82
0
0
15 Nov 2025
Re$^{\text{2}}$MaP: Macro Placement by Recursively Prototyping and Packing Tree-based Relocating
Re2^{\text{2}}2MaP: Macro Placement by Recursively Prototyping and Packing Tree-based RelocatingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Yunqi Shi
Xi Lin
Zhiang Wang
Siyuan Xu
Shixiong Kai
...
Chengrui Gao
Ke Xue
Mingxuan Yuan
Chao Qian
Zhi Zhou
105
0
0
11 Nov 2025
Intelligent Optimization of Multi-Parameter Micromixers Using a Scientific Machine Learning Framework
Intelligent Optimization of Multi-Parameter Micromixers Using a Scientific Machine Learning Framework
Meraj Hassanzadeh
Ehsan Ghaderi
Mohamad Ali Bijarchi
Siamak Kazemzadeh Hannani
89
0
0
10 Nov 2025
Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
Donggyu Min
Seongjin Choi
Dong-Kyu Kim
65
0
0
09 Nov 2025
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng
Bo Xue
Qingfu Zhang
103
1
0
08 Nov 2025
CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
Ziqian Bi
Kaijie Chen
Pohsun Feng
Junfeng Hao
Benji Peng
Xinyuan Song
LRM
132
2
0
07 Nov 2025
AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
Mohsen Ahmadzadeh
Kaichang Chen
Georges Gielen
102
3
0
05 Nov 2025
Provable Accelerated Bayesian Optimization with Knowledge Transfer
Provable Accelerated Bayesian Optimization with Knowledge Transfer
Haitao Lin
Boxin Zhao
Mladen Kolar
Chong Liu
131
0
0
05 Nov 2025
Bayesian Optimization on Networks
Bayesian Optimization on Networks
Wenwen Li
D. Sanz-Alonso
Ruiyi Yang
109
0
0
31 Oct 2025
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
Jaewon Chu
S. Lee
H. Kim
114
1
0
29 Oct 2025
Conformational Rank Conditioned Committees for Machine Learning-Assisted Directed Evolution
Conformational Rank Conditioned Committees for Machine Learning-Assisted Directed Evolution
Mia Adler
Carrie Liang
Brian Peng
Oleg Presnyakov
Justin M. Baker
Jannelle Lauffer
Himani Sharma
Barry Merriman
80
0
0
28 Oct 2025
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
Yumo Yang
Anass Ben Bouazza
Xuejun Dong
Quan Zhou
60
0
0
27 Oct 2025
Informed Initialization for Bayesian Optimization and Active Learning
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner
David Eriksson
E. Bakshy
Max Balandat
AI4CE
152
0
0
27 Oct 2025
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
Ke Xue
Ruo-Tong Chen
Rong-Xi Tan
Xi Lin
Yunqi Shi
Siyuan Xu
Mingxuan Yuan
Chao Qian
146
1
0
27 Oct 2025
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
Fatemeh Zahra Safaeipour
Jacob Chakareski
Morteza Hashemi
106
1
0
27 Oct 2025
Leveraging semantic similarity for experimentation with AI-generated treatments
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi
David Arbour
Raghavendra Addanki
Ritwik Sinha
Avi Feller
162
0
0
24 Oct 2025
Sample-Based Hybrid Mode Control: Asymptotically Optimal Switching of Algorithmic and Non-Differentiable Control Modes
Sample-Based Hybrid Mode Control: Asymptotically Optimal Switching of Algorithmic and Non-Differentiable Control Modes
Yilang Liu
Haoxiang You
Ian Abraham
96
0
0
21 Oct 2025
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
Seunghee Ryu
Donghoon Kwon
Seongjin Choi
Aryan Deshwal
Seungmo Kang
Carolina Osorio
104
0
0
21 Oct 2025
LILO: Bayesian Optimization with Interactive Natural Language Feedback
LILO: Bayesian Optimization with Interactive Natural Language Feedback
Katarzyna Kobalczyk
Zhiyuan Jerry Lin
Benjamin Letham
Zhuokai Zhao
Maximilian Balandat
E. Bakshy
112
1
0
20 Oct 2025
ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
Z. Wang
Yi-Ping Chen
Tuba Dolar
Wei Chen
49
0
0
18 Oct 2025
Synergizing chemical and AI communities for advancing laboratories of the future
Synergizing chemical and AI communities for advancing laboratories of the future
Saejin Oh
X. Fang
I-Hsin Lin
Paris Dee
Christopher S. Dunham
Stacy M. Copp
Abigail G. Doyle
Javier Read de Alaniz
Mengyang Gu
AI4CE
181
0
0
18 Oct 2025
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
Luo Long
Coralia Cartis
Paz Fink Shustin
BDL
134
0
0
17 Oct 2025
Enhancing Time-Series Anomaly Detection by Integrating Spectral-Residual Bottom-Up Attention with Reservoir Computing
Enhancing Time-Series Anomaly Detection by Integrating Spectral-Residual Bottom-Up Attention with Reservoir Computing
Hayato Nihei
S. Nobukawa
Yusuke Sakemi
Kazuyuki Aihara
AI4TS
147
0
0
16 Oct 2025
MRI Brain Tumor Detection with Computer Vision
MRI Brain Tumor Detection with Computer Vision
Jack Krolik
Jake Lynn
John Henry Rudden
Dmytro Vremenko
103
0
0
11 Oct 2025
Human-in-the-loop Optimisation in Robot-assisted Gait Training
Human-in-the-loop Optimisation in Robot-assisted Gait Training
Andreas Christou
Andreas Sochopoulos
Elliot Lister
S. Vijayakumar
43
0
0
07 Oct 2025
Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
Nicholas H. Nelsen
H. Owhadi
Andrew M. Stuart
Xianjin Yang
Zongren Zou
144
2
0
07 Oct 2025
Counterfactual Credit Guided Bayesian Optimization
Counterfactual Credit Guided Bayesian Optimization
Qiyu Wei
Haowei Wang
Richard Allmendinger
Mauricio A Álvarez
103
0
0
06 Oct 2025
Performance-guided Task-specific Optimization for Multirotor Design
Performance-guided Task-specific Optimization for Multirotor Design
Etor Arza
Welf Rehberg
Philipp Weiss
Mihir Kulkarni
Kostas Alexis
125
1
0
06 Oct 2025
Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
Carlo Bosio
Matteo Guarrera
Alberto L. Sangiovanni-Vincentelli
Mark W. Mueller
104
1
0
01 Oct 2025
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Yixuan Weng
Minjun Zhu
Qiujie Xie
Qiyao Sun
Zhen Lin
Sifan Liu
Yue Zhang
LLMAG
186
4
0
30 Sep 2025
ACE: Adapting sampling for Counterfactual Explanations
ACE: Adapting sampling for Counterfactual Explanations
Margarita A. Guerrero
Cristian R. Rojas
117
1
0
30 Sep 2025
Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
Bahti Zakirov
Gašper Tkačik
BDL
167
0
0
29 Sep 2025
Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback
Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback
Tunde Fahd Egunjobi
109
0
0
28 Sep 2025
BOSfM: A View Planning Framework for Optimal 3D Reconstruction of Agricultural Scenes
BOSfM: A View Planning Framework for Optimal 3D Reconstruction of Agricultural Scenes
Athanasios Bacharis
Konstantinos D. Polyzos
G. Giannakis
Nikolaos Papanikolopoulos
148
0
0
28 Sep 2025
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
Yanke Li
Tianyu Cui
Tommaso Mansi
Mangal Prakash
Rui Liao
140
0
0
24 Sep 2025
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Cornelius Suwandi
Feng Yin
Juntao Wang
Renjie Li
Tsung-Hui Chang
Sergios Theodoridis
BDL
186
2
0
22 Sep 2025
Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
Sk Md Ahnaf Akif Alvi
Brent Vela
V. Attari
Jan Janssen
Danny Perez
D. Allaire
Raymundo Arroyave
121
0
0
17 Sep 2025
Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge
Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge
Omar Erak
Omar Alhussein
H. Abou-zeid
Mehdi Bennis
Sami Muhaidat
115
2
0
12 Sep 2025
Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
Omar Erak
Omar Alhussein
H. Abou-zeid
Mehdi Bennis
164
1
0
11 Sep 2025
Dimensionally Reduced Open-World Clustering: DROWCULA
Dimensionally Reduced Open-World Clustering: DROWCULA
Erencem Ozbey
Dimitrios I. Diochnos
122
0
0
08 Sep 2025
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
Yiming Yao
Fei Liu
Liang Zhao
Xi Lin
Qingfu Zhang
168
0
0
03 Sep 2025
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling
Lee Hyun
Sohee Yoon
Jinwoo Park
Sue In Chae
Seongeon Park
...
Myeonginn Kang
Myeonginn Kang
Jina Kim
Ho-Gyeong Kim
Myeonghun Jeong
LRM
161
1
0
31 Aug 2025
1234...131415
Next
Page 1 of 15
Pageof 15