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Conference or Workshop Item
Kuzmanovic, Milan; Hatt, Tobias und Feuerriegel, Stefan 
ORCID: https://orcid.org/0000-0001-7856-8729
(2021):
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies.
Machine Learning for Health, Virtual Conference, 04.12.2021.
Roy, Subhrajit; Pfohl, Stephen; Rocheteau, Emma; Tadesse, Girmaw Abebe; Oala, Luis; Falck, Fabian; Zhou, Yuyin; Shen, Liyue; Zamzmi, Ghada; Mugambi, Purity; Zirikly, Ayah; McDermott, Matthew B. A. und Alsentzer, Emily (eds.) :
Proceedings of Machine Learning Research.
Vol. 158
Cambridge, MA: PMLR. 143 - 155
ORCID: https://orcid.org/0000-0001-7856-8729
(2021):
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies.
Machine Learning for Health, Virtual Conference, 04.12.2021.
Roy, Subhrajit; Pfohl, Stephen; Rocheteau, Emma; Tadesse, Girmaw Abebe; Oala, Luis; Falck, Fabian; Zhou, Yuyin; Shen, Liyue; Zamzmi, Ghada; Mugambi, Purity; Zirikly, Ayah; McDermott, Matthew B. A. und Alsentzer, Emily (eds.) :
Proceedings of Machine Learning Research.
Vol. 158
Cambridge, MA: PMLR. 143 - 155