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Kernels over Sets of Finite Sets using RKHS Embeddings, with Application
  to Bayesian (Combinatorial) Optimization
v1v2 (latest)

Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization

9 October 2019
Poompol Buathong
D. Ginsbourger
Tipaluck Krityakierne
    BDL
ArXiv (abs)PDFHTML

Papers citing "Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization"

14 / 14 papers shown
Title
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru
A. Alvi
Vu Nguyen
Michael A. Osborne
Stephen J. Roberts
109
97
0
20 Jun 2019
Bayesian Optimization with Approximate Set Kernels
Bayesian Optimization with Approximate Set Kernels
Jungtaek Kim
M. McCourt
Tackgeun You
Saehoon Kim
Seungjin Choi
44
8
0
23 May 2019
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
111
1,788
0
08 Jul 2018
Bayesian Optimization of Combinatorial Structures
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista
Matthias Poloczek
83
137
0
22 Jun 2018
Group kernels for Gaussian process metamodels with categorical inputs
Group kernels for Gaussian process metamodels with categorical inputs
O. Roustant
Esperan Padonou
Yves Deville
Aloïs Clément
G. Perrin
J. Giorla
H. Wynn
53
53
0
07 Feb 2018
Replication or exploration? Sequential design for stochastic simulation
  experiments
Replication or exploration? Sequential design for stochastic simulation experiments
M. Binois
Jiangeng Huang
R. Gramacy
M. Ludkovski
66
115
0
09 Oct 2017
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
117
76
0
16 Sep 2017
Dealing with Integer-valued Variables in Bayesian Optimization with
  Gaussian Processes
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
E.C. Garrido-Merchán
Daniel Hernández-Lobato
103
232
0
12 Jun 2017
A supermartingale approach to Gaussian process based sequential design
  of experiments
A supermartingale approach to Gaussian process based sequential design of experiments
Julien Bect
François Bachoc
D. Ginsbourger
63
78
0
03 Aug 2016
Uncertain programming model for multi-item solid transportation problem
Uncertain programming model for multi-item solid transportation problem
Hasan Dalman
106
6
0
31 May 2016
Kernel Distribution Embeddings: Universal Kernels, Characteristic
  Kernels and Kernel Metrics on Distributions
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
52
92
0
18 Apr 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box
  Functions
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
107
647
0
10 Jun 2014
Combinatorial Optimization by Learning and Simulation of Bayesian
  Networks
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
P. Larrañaga
R. Etxeberria
Jose A. Lozano
J. Peña
35
123
0
16 Jan 2013
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
224
531
0
03 Mar 2010
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