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Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel
  high-dimensional Bayesian optimization framework on supercomputers

Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers

12 August 2021
Anh Tran
ArXivPDFHTML

Papers citing "Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers"

3 / 3 papers shown
Title
Re-Examining Linear Embeddings for High-Dimensional Bayesian
  Optimization
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham
Roberto Calandra
Akshara Rai
E. Bakshy
73
110
0
31 Jan 2020
A Framework for Evaluating Approximation Methods for Gaussian Process
  Regression
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka
Christopher K. I. Williams
Iain Murray
GP
71
169
0
29 May 2012
High-Dimensional Non-Linear Variable Selection through Hierarchical
  Kernel Learning
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Francis R. Bach
BDL
126
74
0
04 Sep 2009
1