%0 Journal Article %1 Pichler_2021 %A Pichler, Alois %A Weinhardt, Michael %D 2021 %I Springer Science and Business Media LLC %J Computational Management Science %K crc1410 e01 %N 2 %P 269–293 %R 10.1007/s10287-021-00415-7 %T The nested Sinkhorn divergence to learn the nested distance %U https://doi.org/10.1007%2Fs10287-021-00415-7 %V 19

@article{Pichler_2021, added-at = {2023-07-01T17:17:19.000+0200}, author = {Pichler, Alois and Weinhardt, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2eba03dc242f3018cee5b5299bc4f592b/hybridsocieties}, doi = {10.1007/s10287-021-00415-7}, interhash = {205c9d5d39e4a36fcdaaf43617444d83}, intrahash = {eba03dc242f3018cee5b5299bc4f592b}, journal = {Computational Management Science}, keywords = {crc1410 e01}, month = sep, number = 2, pages = {269–293}, publisher = {Springer Science and Business Media {LLC}}, timestamp = {2023-07-01T17:17:19.000+0200}, title = {The nested Sinkhorn divergence to learn the nested distance}, url = {https://doi.org/10.1007%2Fs10287-021-00415-7}, volume = 19, year = 2021 }