Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization

C++ Python Submitted 22 January 2018Published 26 June 2018
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Authors

Antoine Cully (0000-0002-3190-7073), Konstantinos Chatzilygeroudis (0000-0003-3585-1027), Federico Allocati, Jean-Baptiste Mouret (0000-0002-2513-027X)

Citation

Cully et al., (2018). Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization . Journal of Open Source Software, 3(26), 545, https://doi.org/10.21105/joss.00545

@article{Cully2018, doi = {10.21105/joss.00545}, url = {https://doi.org/10.21105/joss.00545}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {26}, pages = {545}, author = {Antoine Cully and Konstantinos Chatzilygeroudis and Federico Allocati and Jean-Baptiste Mouret}, title = {Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization}, journal = {Journal of Open Source Software} }
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ISSN 2475-9066