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A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

12 December 2010
E. Brochu
Vlad M. Cora
Nando de Freitas
    GP
ArXiv (abs)PDFHTML

Papers citing "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning"

50 / 691 papers shown
Title
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network
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Jingbiao Mei
Zhicheng Fang
Yuwen Zhang
Ziqing Zhang
Huaying Wu
Xiaoyao Liang
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52
5
0
30 Sep 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based
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Péter Antal
Tamás Péni
R. Tóth
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8
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29 Sep 2022
Multipoint-BAX: A New Approach for Efficiently Tuning Particle
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Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives
Sara Ayoub Miskovich
Willie Neiswanger
W. Colocho
C. Emma
Jacqueline Garrahan
T. Maxwell
C. Mayes
Stefano Ermon
A. Edelen
Daniel Ratner
77
3
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10 Sep 2022
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic
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Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints
Akshay Dhonthi
Philipp Schillinger
Leonel Rozo
Daniele Nardi
67
7
0
07 Sep 2022
$1D$ to $nD$: A Meta Algorithm for Multivariate Global Optimization via
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1D1D1D to nDnDnD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers
Kaan Gokcesu
Hakan Gokcesu
97
0
0
06 Sep 2022
Trust in Language Grounding: a new AI challenge for human-robot teams
Trust in Language Grounding: a new AI challenge for human-robot teams
David M. Bossens
C. Evers
94
1
0
05 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
166
24
0
01 Sep 2022
Black-box optimization for integer-variable problems using Ising
  machines and factorization machines
Black-box optimization for integer-variable problems using Ising machines and factorization machines
Yuya Seki
R. Tamura
Shu Tanaka
64
9
0
01 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using
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Alexander E. Siemenn
Zekun Ren
Qianxiao Li
Tonio Buonassisi
94
30
0
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A Survey of Open Source Automation Tools for Data Science Predictions
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Nicholas Hoell
63
0
0
24 Aug 2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
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Daolang Huang
Louis Filstroff
P. Mikkola
Runkai Zheng
Samuel Kaski
59
5
0
18 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting
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Sheheryar Mehmood
Peter Ochs
89
3
0
05 Aug 2022
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Michele Cozzatti
Federico Simonetta
Stavros Ntalampiras
DRL
51
4
0
05 Aug 2022
Nonstationary Continuum-Armed Bandit Strategies for Automated Trading in
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Nonstationary Continuum-Armed Bandit Strategies for Automated Trading in a Simulated Financial Market
Bing Liu
John Cartlidge
37
0
0
04 Aug 2022
Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication
  Systems
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Baojuan Liu
Zhiqin Hong
Zhong-pei Zhang
131
9
0
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Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub
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Haris Moazam Sheikh
Tess A. Callan
Kealan J. Hennessy
P. Marcus
AI4CE
117
11
0
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Inference of Regulatory Networks Through Temporally Sparse Data
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Mahdi Imani
58
17
0
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Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
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Michael A. Osborne
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79
19
0
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Changyong Oh
Roberto Bondesan
D. Kianfar
Rehan Ahmed
Rishubh Khurana
Payal Agarwal
Romain Lepert
M. Sriram
Max Welling
46
6
0
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Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for
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Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for Robust Mobile Manipulation
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M. Deisenroth
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23
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0
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Optimizing Training Trajectories in Variational Autoencoders via Latent
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Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDLDRL
78
10
0
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Quantum Neural Architecture Search with Quantum Circuits Metric and
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J. Rhee
89
18
0
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70
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Demystifying the Adversarial Robustness of Random Transformation
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AAML
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Designing MacPherson Suspension Architectures using Bayesian
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Sinnu Susan Thomas
Jacopo Palandri
M. Lakehal-Ayat
Punarjay Chakravarty
F. Wolf-Monheim
Matthew B. Blaschko
18
4
0
17 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic
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Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Sebastian Ament
Carla P. Gomes
64
9
0
16 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
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Yaochu Jin
Sebastian Schmitt
Markus Olhofer
88
233
0
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Efficient Minimax Optimal Global Optimization of Lipschitz Continuous
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Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions
Kaan Gokcesu
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41
3
0
06 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
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101
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0
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Learning to Assemble Geometric Shapes
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70
4
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Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
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59
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0
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PyRelationAL: a python library for active learning research and
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Designing Robust Biotechnological Processes Regarding Variabilities
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Practitioner Motives to Use Different Hyperparameter Optimization Methods
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Rectified Max-Value Entropy Search for Bayesian Optimization
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