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Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization.

, , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 17-41. JMLR.org, (2016)

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Structured Inference Networks for Nonlinear State Space Models., , and . CoRR, (2016)Block Stability for MAP Inference., , and . CoRR, (2018)Bounding and Minimizing Counterfactual Error., , and . CoRR, (2016)Alpha-expansion is Exact on Stable Instances., , and . CoRR, (2017)Optimality of Approximate Inference Algorithms on Stable Instances., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1157-1166. PMLR, (2018)Unsupervised learning of disease progression models., , and . KDD, page 85-94. ACM, (2014)Personalizing web search results by reading level., , , , and . CIKM, page 403-412. ACM, (2011)Estimating individual treatment effect: generalization bounds and algorithms., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3076-3085. PMLR, (2017)Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1665-1674. PMLR, (2017)Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors., , , , , and . Big Data, 3 (4): 277-287 (2015)