Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1012.2599
Cited By
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
Re-assign community
ArXiv (abs)
PDF
HTML
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 Architecture
Nanyang Ye
Jingbiao Mei
Zhicheng Fang
Yuwen Zhang
Ziqing Zhang
Huaying Wu
Xiaoyao Liang
OOD
52
5
0
30 Sep 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning
Péter Antal
Tamás Péni
R. Tóth
88
8
0
29 Sep 2022
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
0
10 Sep 2022
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints
Akshay Dhonthi
Philipp Schillinger
Leonel Rozo
Daniele Nardi
67
7
0
07 Sep 2022
1
D
1D
1
D
to
n
D
nD
n
D
: 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
David M. Bossens
C. Evers
94
1
0
05 Sep 2022
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
Yuya Seki
R. Tamura
Shu Tanaka
64
9
0
01 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
Alexander E. Siemenn
Zekun Ren
Qianxiao Li
Tonio Buonassisi
94
30
0
26 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions
Nicholas Hoell
63
0
0
24 Aug 2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
Daolang Huang
Louis Filstroff
P. Mikkola
Runkai Zheng
Samuel Kaski
59
5
0
18 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions
Sheheryar Mehmood
Peter Ochs
89
3
0
05 Aug 2022
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 a Simulated Financial Market
Bing Liu
John Cartlidge
37
0
0
04 Aug 2022
Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems
Songjie Yang
Baojuan Liu
Zhiqin Hong
Zhong-pei Zhang
131
9
0
28 Jul 2022
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization
Haris Moazam Sheikh
Tess A. Callan
Kealan J. Hennessy
P. Marcus
AI4CE
117
11
0
23 Jul 2022
Inference of Regulatory Networks Through Temporally Sparse Data
Mohammad Alali
Mahdi Imani
58
17
0
21 Jul 2022
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
79
19
0
19 Jul 2022
Bayesian Optimization for Macro Placement
Changyong Oh
Roberto Bondesan
D. Kianfar
Rehan Ahmed
Rishubh Khurana
Payal Agarwal
Romain Lepert
M. Sriram
Max Welling
46
6
0
18 Jul 2022
Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for Robust Mobile Manipulation
Hadi Hajieghrary
M. Deisenroth
Yasemin Bekiroglu
23
2
0
04 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
DRL
78
10
0
30 Jun 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
Trong Duong
Sang T. Truong
Minh Tam
B. Bach
Juno Ryu
J. Rhee
89
18
0
28 Jun 2022
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations
A. Nikitin
Samuel Kaski
70
7
0
23 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin
Zachary Golan-Strieb
David Wagner
AAML
94
21
0
18 Jun 2022
Designing MacPherson Suspension Architectures using Bayesian Optimization
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 Differentiation
Sebastian Ament
Carla P. Gomes
64
9
0
16 Jun 2022
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
88
233
0
07 Jun 2022
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions
Kaan Gokcesu
Hakan Gokcesu
41
3
0
06 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
A. Maraval
Matthieu Zimmer
Antoine Grosnit
Rasul Tutunov
Jun Wang
H. Ammar
101
2
0
27 May 2022
Learning to Assemble Geometric Shapes
Jinhwi Lee
Jungtaek Kim
H. Chung
Jaesik Park
Minsu Cho
70
4
0
24 May 2022
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
Yiwei Li
Bin Sun
Shaoxiong Feng
Kan Li
59
3
0
23 May 2022
PyRelationAL: a python library for active learning research and development
P. Scherer
Thomas Gaudelet
Alison Pouplin
Alice Del Vecchio
S. SurajM
Oliver Bolton
Jyothish Soman
J. Taylor-King
Lindsay Edwards
KELM
58
2
0
23 May 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Shouri Hu
Haowei Wang
Zhongxiang Dai
K. H. Low
Szu Hui Ng
65
4
0
10 May 2022
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design
T. H. Rodríguez
Anton Sekulic
Markus Lange-Hegermann
Björn Frahm
78
10
0
06 May 2022
Visualization and Optimization Techniques for High Dimensional Parameter Spaces
Anjul Tyagi
39
3
0
28 Apr 2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
Yunzhuo Liu
Bo Jiang
Tian Guo
Zimeng Huang
Wen-ping Ma
Xinbing Wang
Chenghu Zhou
84
9
0
28 Apr 2022
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization
Linwei Li
P. Matt
C. Heumann
AI4TS
20
0
0
26 Apr 2022
π
π
π
BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Carl Hvarfner
Daniel Stoll
Artur L. F. Souza
Marius Lindauer
Frank Hutter
Luigi Nardi
99
71
0
23 Apr 2022
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
Deqing Zhai
Y. Soh
51
0
0
19 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
71
91
0
13 Apr 2022
Multi-Sample
ζ
ζ
ζ
-mixup: Richer, More Realistic Synthetic Samples from a
p
p
p
-Series Interpolant
Kumar Abhishek
Colin J. Brown
Ghassan Hamarneh
56
2
0
07 Apr 2022
Safe Active Learning for Multi-Output Gaussian Processes
Cen-You Li
Barbara Rakitsch
Christoph Zimmer
UQCV
136
18
0
28 Mar 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Samuel Stanton
Wesley J. Maddox
Nate Gruver
Phillip M. Maffettone
E. Delaney
Peyton Greenside
A. Wilson
BDL
77
98
0
23 Mar 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
Matthias Mayr
Faseeh Ahmad
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
85
28
0
18 Mar 2022
Bayesian Calibration for Activity Based Models
Laura Schultz
Joshua A. Auld
Vadim Sokolov
81
3
0
08 Mar 2022
On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
Jaleh Zand
Jack Parker-Holder
Stephen J. Roberts
63
14
0
08 Mar 2022
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Niclas Kannengießer
Niklas Hasebrook
Felix Morsbach
Marc-André Zöller
Jörg Franke
Marius Lindauer
Frank Hutter
Ali Sunyaev
65
4
0
03 Mar 2022
Rectified Max-Value Entropy Search for Bayesian Optimization
Q. Nguyen
K. H. Low
Patrick Jaillet
65
5
0
28 Feb 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
Jungtaek Kim
Seungjin Choi
60
6
0
22 Feb 2022
Holdouts set for predictive model updating
Sami Haidar-Wehbe
S. Emerson
L. Aslett
J. Liley
26
0
0
13 Feb 2022
Previous
1
2
3
4
5
...
12
13
14
Next