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Multi-Information Source Optimization
v1v2 (latest)

Multi-Information Source Optimization

1 March 2016
Matthias Poloczek
Jialei Wang
P. Frazier
ArXiv (abs)PDFHTML

Papers citing "Multi-Information Source Optimization"

18 / 68 papers shown
Title
Knowledge Gradient for Selection with Covariates: Consistency and
  Computation
Knowledge Gradient for Selection with Covariates: Consistency and Computation
Liang Ding
L. Hong
Haihui Shen
Xiaowei Zhang
BDL
100
27
0
12 Jun 2019
Lifelong Bayesian Optimization
Lifelong Bayesian Optimization
Yao Zhang
James Jordon
Ahmed Alaa
M. Schaar
123
11
0
29 May 2019
Bayesian Optimization for Policy Search via Online-Offline
  Experimentation
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham
E. Bakshy
OffRL
97
56
0
01 Apr 2019
Active Multi-Information Source Bayesian Quadrature
Active Multi-Information Source Bayesian Quadrature
A. Gessner
Javier I. González
Maren Mahsereci
81
30
0
27 Mar 2019
Deep Gaussian Processes for Multi-fidelity Modeling
Deep Gaussian Processes for Multi-fidelity Modeling
Kurt Cutajar
Mark Pullin
Andreas C. Damianou
Neil D. Lawrence
Javier I. González
AI4CE
80
110
0
18 Mar 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
Willie Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric Xing
95
178
0
15 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu
Saul Toscano-Palmerin
P. Frazier
A. Wilson
72
132
0
12 Mar 2019
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via
  Posterior Regularization
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization
B. Liu
UQCV
72
2
0
11 Feb 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and
  its parallelization
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization
Shion Takeno
H. Fukuoka
Yuhki Tsukada
T. Koyama
M. Shiga
Ichiro Takeuchi
Masayuki Karasuyama
87
40
0
24 Jan 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian
  process prior
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Zi Wang
Beomjoon Kim
L. Kaelbling
77
54
0
23 Nov 2018
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search
  Approach
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach
Rajat Sen
Kirthevasan Kandasamy
Sanjay Shakkottai
36
23
0
24 Oct 2018
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
196
1,805
0
08 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
247
1,102
0
04 Jul 2018
Contour location via entropy reduction leveraging multiple information
  sources
Contour location via entropy reduction leveraging multiple information sources
A. Marques
Rémi R. Lam
Karen E. Willcox
56
32
0
19 May 2018
Bayesian Optimization with Expensive Integrands
Bayesian Optimization with Expensive Integrands
Saul Toscano-Palmerin
P. Frazier
56
49
0
23 Mar 2018
Experimental Design for Non-Parametric Correction of Misspecified
  Dynamical Models
Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models
Gal Shulkind
L. Horesh
H. Avron
82
16
0
02 May 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy
Gautam Dasarathy
J. Schneider
Barnabás Póczós
76
221
0
18 Mar 2017
Bayesian Optimization with Gradients
Bayesian Optimization with Gradients
Jian Wu
Matthias Poloczek
A. Wilson
P. Frazier
94
210
0
13 Mar 2017
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