%0 Conference Paper %1 conf/nips/JensenKSH21 %A Jensen, Kristopher T. %A Kao, Ta-Chu %A Stone, Jasmine %A Hennequin, Guillaume %B NeurIPS %D 2021 %E Ranzato, Marc'Aurelio %E Beygelzimer, Alina %E Dauphin, Yann N. %E Liang, Percy %E Vaughan, Jennifer Wortman %K dblp %P 10613-10626 %T Scalable Bayesian GPFA with automatic relevance determination and discrete noise models. %U http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#JensenKSH21

@inproceedings{conf/nips/JensenKSH21, added-at = {2022-05-03T00:00:00.000+0200}, author = {Jensen, Kristopher T. and Kao, Ta-Chu and Stone, Jasmine and Hennequin, Guillaume}, biburl = {https://www.bibsonomy.org/bibtex/2f6c6dd1c0e406e066afdec7b5c692e07/dblp}, booktitle = {NeurIPS}, crossref = {conf/nips/2021}, editor = {Ranzato, Marc'Aurelio and Beygelzimer, Alina and Dauphin, Yann N. and Liang, Percy and Vaughan, Jennifer Wortman}, ee = {https://proceedings.neurips.cc/paper/2021/hash/58238e9ae2dd305d79c2ebc8c1883422-Abstract.html}, interhash = {39c79ac624c750e86c5a722c40986036}, intrahash = {f6c6dd1c0e406e066afdec7b5c692e07}, keywords = {dblp}, pages = {10613-10626}, timestamp = {2024-04-09T23:20:59.000+0200}, title = {Scalable Bayesian GPFA with automatic relevance determination and discrete noise models.}, url = {http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#JensenKSH21}, year = 2021 }