%0 Journal Article %1 journals/ml/WistubaSS18 %A Wistuba, Martin %A Schilling, Nicolas %A Schmidt-Thieme, Lars %D 2018 %J Mach. Learn. %K %N 1 %P 43-78 %T Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. %U http://dblp.uni-trier.de/db/journals/ml/ml107.html#WistubaSS18 %V 107

@article{journals/ml/WistubaSS18, added-at = {2023-12-12T19:46:52.000+0100}, author = {Wistuba, Martin and Schilling, Nicolas and Schmidt-Thieme, Lars}, biburl = {https://www.bibsonomy.org/bibtex/267fb7129a8ffe3f51b397f831cc09361/admin}, ee = {https://www.wikidata.org/entity/Q59866136}, interhash = {25f2caa503920ae16d5b79ec5dd49103}, intrahash = {67fb7129a8ffe3f51b397f831cc09361}, journal = {Mach. Learn.}, keywords = {}, number = 1, pages = {43-78}, timestamp = {2023-12-12T19:46:52.000+0100}, title = {Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.}, url = {http://dblp.uni-trier.de/db/journals/ml/ml107.html#WistubaSS18}, volume = 107, year = 2018 }