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 approximate optimization via learning-based adaptive
  optimization
Quantum approximate optimization via learning-based adaptive optimizationCommunications Physics (Commun. Phys.), 2023
Lixue Cheng
Yu-Qin Chen
Shi-Xin Zhang
Shengyu Zhang
205
37
0
27 Mar 2023
Multi-agent Black-box Optimization using a Bayesian Approach to
  Alternating Direction Method of Multipliers
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of MultipliersIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
D. Krishnamoorthy
J. Paulson
119
8
0
25 Mar 2023
Efficient hybrid modeling and sorption model discovery for non-linear
  advection-diffusion-sorption systems: A systematic scientific machine
  learning approach
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachChemical Engineering and Science (CES), 2023
Vinícius V. Santana
É. Costa
C. Rebello
A. M. Ribeiro
Chris Rackauckas
Idelfonso B. R. Nogueira
222
17
0
22 Mar 2023
Bayesian Optimization for Function Compositions with Applications to
  Dynamic Pricing
Bayesian Optimization for Function Compositions with Applications to Dynamic PricingLearning and Intelligent Optimization (LION), 2023
Kunal Jain
J. PrabuchandranK.
Tejas Bodas
209
3
0
21 Mar 2023
Systematic design space exploration by learning the explored space using
  Machine Learning
Systematic design space exploration by learning the explored space using Machine Learning
Avinash Kumar
Anish Kumar
Sumit Sharma
Surjeet Singh
Kumar Vardhan
95
0
0
14 Mar 2023
Discovering Multiple Algorithm Configurations
Discovering Multiple Algorithm ConfigurationsIEEE International Conference on Robotics and Automation (ICRA), 2023
L. Keselman
M. Hebert
214
1
0
13 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via
  Ranking Oracles
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking OraclesInternational Conference on Learning Representations (ICLR), 2023
Zhiwei Tang
Dmitry Rybin
Tsung-Hui Chang
ALMDiffM
492
39
0
07 Mar 2023
Rapid design of fully soft deployable structures via kirigami cuts and
  active learning
Rapid design of fully soft deployable structures via kirigami cuts and active learningAdvanced Materials & Technologies (AMT), 2023
Leixin Ma
Mrunmayi Mungekar
V. Roychowdhury
M. Jawed
84
9
0
04 Mar 2023
Agent-based Collaborative Random Search for Hyper-parameter Tuning and
  Global Function Optimization
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
Ahmad Esmaeili
Zahra Ghorrati
Eric T. Matson
198
18
0
03 Mar 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via
  Dictionary-based Embeddings
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based EmbeddingsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Aryan Deshwal
Sebastian Ament
Maximilian Balandat
E. Bakshy
J. Doppa
David Eriksson
327
35
0
03 Mar 2023
Active Learning and Bayesian Optimization: a Unified Perspective to
  Learn with a Goal
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a GoalArchives of Computational Methods in Engineering (ACME), 2023
Francesco Di Fiore
Michela Nardelli
L. Mainini
413
44
0
02 Mar 2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOBACM Transactions on Evolutionary Learning and Optimization (TELO), 2023
Maria Laura Santoni
Elena Raponi
R. De Leone
Carola Doerr
221
34
0
02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
369
273
0
01 Mar 2023
Fusion of ML with numerical simulation for optimized propeller design
Fusion of ML with numerical simulation for optimized propeller design
Harsh Vardhan
Péter Völgyesi
J. Sztipanovits
167
8
0
28 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
Luca Masserano
Syama Sundar Rangapuram
Shubham Kapoor
Rajbir-Singh Nirwan
Youngsuk Park
Michael Bohlke-Schneider
TTAAI4TS
184
3
0
23 Feb 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient
  Unsupervised Learning: Theory and Design Principles
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design PrinciplesInternational Conference on Learning Representations (ICLR), 2023
Biswadeep Chakraborty
Saibal Mukhopadhyay
231
14
0
22 Feb 2023
Online Continuous Hyperparameter Optimization for Generalized Linear
  Contextual Bandits
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
Yue Kang
Cho-Jui Hsieh
T. C. Lee
298
2
0
18 Feb 2023
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage
  Prediction
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
Theodoros Theodoropoulos
John Violos
Stylianos Tsanakas
Aris Leivadeas
Konstantinos Tserpes
T. Varvarigou
73
9
0
09 Feb 2023
Black Box Adversarial Prompting for Foundation Models
Black Box Adversarial Prompting for Foundation Models
Natalie Maus
Patrick Chao
Eric Wong
Jacob R. Gardner
VLM
267
76
0
08 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for
  Enhanced Exploration
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced ExplorationNeural Computation (Neural Comput.), 2023
O. Boyar
Ichiro Takeuchi
BDL
342
5
0
05 Feb 2023
A Fully-Automated Framework Integrating Gaussian Process Regression and
  Bayesian Optimization to Design Pin-Fins
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins
Susheel Dharmadhikari
Reid A. Berdanier
K. Thole
A. Basak
41
0
0
30 Jan 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient
  Fine-Tuning
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-TuningTransactions of the Association for Computational Linguistics (TACL), 2023
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
249
50
0
28 Jan 2023
Violation-Aware Contextual Bayesian Optimization for Controller
  Performance Optimization with Unmodeled Constraints
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled ConstraintsJournal of Process Control (J. Process Control), 2023
Wenjie Xu
Colin N. Jones
B. Svetozarevic
C. Laughman
Ankush Chakrabarty
197
10
0
28 Jan 2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Learning Reservoir Dynamics with Temporal Self-ModulationCommunications Physics (Commun. Phys.), 2023
Yusuke Sakemi
S. Nobukawa
Toshitaka Matsuki
Takashi Morie
Kazuyuki Aihara
136
11
0
23 Jan 2023
Robust Bayesian Target Value Optimization
Robust Bayesian Target Value OptimizationComputers & industrial engineering (CIE), 2023
J. G. Hoffer
Sascha Ranftl
Bernhard C. Geiger
211
10
0
11 Jan 2023
Learning-based Design and Control for Quadrupedal Robots with
  Parallel-Elastic Actuators
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic ActuatorsIEEE Robotics and Automation Letters (RA-L), 2023
Filip Bjelonic
Joonho Lee
Philip Arm
Dhionis V. Sako
Davide Tateo
Jan Peters
Marco Hutter
167
37
0
09 Jan 2023
Extrinsic Bayesian Optimizations on Manifolds
Extrinsic Bayesian Optimizations on Manifolds
Yi-Zheng Fang
Mu Niu
P. Cheung
Lizhen Lin
220
1
0
21 Dec 2022
On Noisy Evaluation in Federated Hyperparameter Tuning
On Noisy Evaluation in Federated Hyperparameter TuningConference on Machine Learning and Systems (MLSys), 2022
Kevin Kuo
Pratiksha Thaker
M. Khodak
John Nguyen
Daniel Jiang
Ameet Talwalkar
Virginia Smith
FedML
380
10
0
17 Dec 2022
Rollout Algorithms and Approximate Dynamic Programming for Bayesian
  Optimization and Sequential Estimation
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
Dimitri Bertsekas
304
3
0
15 Dec 2022
Combining Planning, Reasoning and Reinforcement Learning to solve
  Industrial Robot Tasks
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks
Matthias Mayr
Faseeh Ahmad
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
138
11
0
07 Dec 2022
GAUCHE: A Library for Gaussian Processes in Chemistry
GAUCHE: A Library for Gaussian Processes in ChemistryNeural Information Processing Systems (NeurIPS), 2022
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
348
56
0
06 Dec 2022
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
BaCO: A Fast and Portable Bayesian Compiler Optimization FrameworkInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
E. Hellsten
Artur L. F. Souza
Johannes Lenfers
Rubens Lacouture
Olivia Hsu
Adel Ejjeh
Fredrik Kjolstad
Michel Steuwer
K. Olukotun
Luigi Nardi
248
28
0
01 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
323
88
0
30 Nov 2022
Control and Morphology Optimization of Passive Asymmetric Structures for
  Robotic Swimming
Control and Morphology Optimization of Passive Asymmetric Structures for Robotic SwimmingIEEE Robotics and Automation Letters (RA-L), 2022
Nana Obayashi
Andrea Vicari
Kai Junge
Kamran Shakir
Josie Hughes
71
9
0
24 Nov 2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop
  Control System Optimization with Unmodeled Constraints
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled ConstraintsIFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
235
8
0
21 Nov 2022
Bayesian Optimization of 2D Echocardiography Segmentation
Bayesian Optimization of 2D Echocardiography SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Tung Tran
Joshua V. Stough
Xiaoyan Zhang
C. Haggerty
134
4
0
17 Nov 2022
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function ApproximationInternational Conference on Machine Learning (ICML), 2022
Chong Liu
Yu Wang
402
9
0
16 Nov 2022
Safe and Adaptive Decision-Making for Optimization of Safety-Critical
  Systems: The ARTEO Algorithm
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm
Buse Sibel Korkmaz
Marta Zagórowska
Mehmet Mercangöz
192
2
0
10 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems
  in Dynamic Environments
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic EnvironmentsIEEE Transactions on Evolutionary Computation (TEVC), 2022
Ke Li
Renzhi Chen
Xin Yao
143
32
0
05 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization
Monte Carlo Tree Descent for Black-Box OptimizationNeural Information Processing Systems (NeurIPS), 2022
Yaoguang Zhai
Sicun Gao
97
5
0
01 Nov 2022
Atlas: Automate Online Service Configuration in Network Slicing
Atlas: Automate Online Service Configuration in Network SlicingConference on Emerging Network Experiment and Technology (CoNEXT), 2022
Qiang Liu
Nakjung Choi
Tao Han
157
16
0
30 Oct 2022
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical WorldNeural Information Processing Systems (NeurIPS), 2022
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
262
38
0
27 Oct 2022
Bayesian Optimization with Conformal Prediction Sets
Bayesian Optimization with Conformal Prediction SetsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Samuel Stanton
Wesley J. Maddox
A. Wilson
474
28
0
22 Oct 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of
  Rewards
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of RewardsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yekun Chai
Shuohuan Wang
Yu Sun
Hao Tian
Hua Wu
Haifeng Wang
VLM
265
19
0
21 Oct 2022
Optimization on Manifolds via Graph Gaussian Processes
Optimization on Manifolds via Graph Gaussian ProcessesSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Hwanwoo Kim
D. Sanz-Alonso
Ruiyi Yang
395
7
0
20 Oct 2022
Discovering Many Diverse Solutions with Bayesian Optimization
Discovering Many Diverse Solutions with Bayesian OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Natalie Maus
Kaiwen Wu
David Eriksson
Jacob R. Gardner
440
33
0
20 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic
  Reparameterization
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic ReparameterizationNeural Information Processing Systems (NeurIPS), 2022
Sam Daulton
Xingchen Wan
David Eriksson
Maximilian Balandat
Michael A. Osborne
E. Bakshy
212
56
0
18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective OptimizationNeural Information Processing Systems (NeurIPS), 2022
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
241
84
0
16 Oct 2022
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian
  Processes
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian ProcessesInternational Conference on Machine Learning (ICML), 2022
Liam Hodgkinson
Christopher van der Heide
Fred Roosta
Michael W. Mahoney
UQCV
264
7
0
14 Oct 2022
Query Expansion Using Contextual Clue Sampling with Language Models
Query Expansion Using Contextual Clue Sampling with Language Models
Linqing Liu
Minghan Li
Jimmy J. Lin
Sebastian Riedel
Pontus Stenetorp
210
15
0
13 Oct 2022
Previous
123...789...131415
Next
Page 8 of 15
Pageof 15