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Sequential Design for Ranking Response Surfaces
v1v2 (latest)

Sequential Design for Ranking Response Surfaces

3 September 2015
Ruimeng Hu
M. Ludkovski
ArXiv (abs)PDFHTML

Papers citing "Sequential Design for Ranking Response Surfaces"

10 / 10 papers shown
Title
Top-Two Thompson Sampling for Contextual Top-mc Selection Problems
Top-Two Thompson Sampling for Contextual Top-mc Selection Problems
Xinbo Shi
Yijie Peng
Gongbo Zhang
59
1
0
30 Jun 2023
Reliability analysis of arbitrary systems based on active learning and
  global sensitivity analysis
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
M. Moustapha
Pietro Parisi
S. Marelli
Bruno Sudret
18
11
0
31 May 2023
Adaptive Batching for Gaussian Process Surrogates with Application in
  Noisy Level Set Estimation
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
Xiong Lyu
M. Ludkovski
62
4
0
19 Mar 2020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen
S. Marelli
Bruno Sudret
78
156
0
04 Feb 2020
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
Deep Learning for Ranking Response Surfaces with Applications to Optimal
  Stopping Problems
Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
Ruimeng Hu
OOD
62
13
0
11 Jan 2019
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy
  Level Set Estimation
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
Xiong Lyu
M. Binois
M. Ludkovski
59
24
0
18 Jul 2018
Ranking and Selection with Covariates for Personalized Decision Making
Ranking and Selection with Covariates for Personalized Decision Making
Haihui Shen
L. Hong
Xiaowei Zhang
CML
59
54
0
07 Oct 2017
Practical heteroskedastic Gaussian process modeling for large simulation
  experiments
Practical heteroskedastic Gaussian process modeling for large simulation experiments
M. Binois
R. Gramacy
M. Ludkovski
94
187
0
17 Nov 2016
Bayesian Epidemic Detection in Multiple Populations
Bayesian Epidemic Detection in Multiple Populations
M. Ludkovski
Katherine Shatskikh
12
0
0
14 Sep 2015
1