BayesOpt discussion

Welcome to the discussion list for the BayesOpt library: an efficient, C++ implementation of several Bayesian optimization

The release code of the library can be found at:


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Showing 1-18 of 18 topics
Default Acquisition and Surrogate function in BayesOpt Mohammad Hossein Namaki 9/10/16
PhD position in Machine Learning/Computer Vision for wearables at Zaragoza, Spain Ruben Martinez-Cantin 7/11/16
BayeOpt stuck at local optima wqi 7/11/16
Treat eahe iteration as a certain time step in Bayesian Optimization?! BayesOpt discussion 5/29/16
instilling problems fatemeh amrollahi 5/18/16
having twice the same initial point changes the result DevShark 5/13/16
How Can I force points to be explored? DevShark 5/13/16
Please help with segmentation fault issue DevShark 5/12/16
Is it possible to define dependent constraints over parameters? Mohammad Hossein Namaki 4/15/16
Mixture of continuous and discrete hyper parameters Safoora Yousefi 4/15/16
Optimization of a complicated expensive closed black box function Devraj Mandal 4/8/16
MATLAB error compile 3/21/16
How to handle evaluation failure of the black box function? Lukas M 12/21/15
Accessing the fitted function during the optimization in python Lukas M 12/21/15
BayesOpt v0.8 released Ruben Martinez Cantin 12/5/15
BayesOpt v0.7.1 released Ruben Martinez-Cantin 7/3/14
BayesOpt v0.6 released. Ruben Martinez-Cantin 3/27/14
Version 0.4.1 has been released Ruben Martinez-Cantin 5/16/13