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• W2136213019 abstract "BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlinear optimization, stochastic bandits or sequential experimental design problems. Bayesian optimization characterized for being sample efficient as it builds a posterior distribution to capture the evidence and prior knowledge of the target function. Built in standard C++, the library is extremely efficient while being portable and flexible. It includes a common interface for C, C++, Python, Matlab and Octave." @default.
• W2136213019 created "2016-06-24" @default.
• W2136213019 creator A5049372967 @default.
• W2136213019 date "2014-01-01" @default.
• W2136213019 modified "2023-09-23" @default.
• W2136213019 title "BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits" @default.
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