Publications [google scholar]
- Y. Halpern. Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine. PhD Thesis, Sept. 2016.
- Y. Halpern, Y.D. Choi, S. Horng, D. Sontag. Using Anchors to Estimate Clinical State without Labeled Data. To appear in the American Medical Informatics Association (AMIA) Annual Symposium, Nov. 2014.
- Y. Jernite, Y. Halpern, D. Sontag. Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests. Neural Information Processing Systems (NIPS) 26, Dec. 2013. Supplementary BibTex
- Y. Jernite, Y. Halpern, S. Horng, D. Sontag. Predicting Chief Complaints at Triage Time in the Emergency Department. NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare, Dec. 2013.
- Y. Halpern, D. Sontag. Unsupervised Learning of Noisy-Or Bayesian Networks. Uncertainty in Artificial Intelligence (UAI) 29, July 2013. BibTex
- S. Arora, R. Ge, Y. Halpern, D. Mimno, A. Moitra, D. Sontag, Y. Wu, M. Zhu. A Practical Algorithm for Topic Modeling with Provable Guarantees. 30th International Conference on Machine Learning (ICML), 2013. Supplementary BibTex
- Y. Halpern, S. Horng, L. A. Nathanson, N. I. Shapiro, D. Sontag. A Comparison of Dimensionality Reduction Techniques for Unstructured Clinical Text. ICML 2012 Workshop on Clinical Data Analysis, July 2012. BibTex