%0 Journal Article %1 journals/corr/abs-1910-03962 %A von Kügelgen, Julius %A Rubenstein, Paul K. %A Schölkopf, Bernhard %A Weller, Adrian %D 2019 %J CoRR %K dblp %T Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks. %U http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-03962 %V abs/1910.03962

@article{journals/corr/abs-1910-03962, added-at = {2019-10-16T00:00:00.000+0200}, author = {von Kügelgen, Julius and Rubenstein, Paul K. and Schölkopf, Bernhard and Weller, Adrian}, biburl = {https://www.bibsonomy.org/bibtex/22c8ed050e750b48fdc218480ea92a0cb/dblp}, ee = {http://arxiv.org/abs/1910.03962}, interhash = {2ba56df933d0f035769f612a731e6587}, intrahash = {2c8ed050e750b48fdc218480ea92a0cb}, journal = {CoRR}, keywords = {dblp}, timestamp = {2019-10-17T11:38:04.000+0200}, title = {Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-03962}, volume = {abs/1910.03962}, year = 2019 }