2.1k citations · 4.3k across the 48 of their papers we have counts for
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Randomized algorithms for distributed computation of principal component analysis and singular value decomposition
Huamin Li, Yuval Kluger, Mark Tygert
Randomized algorithms provide solutions to two ubiquitous problems: (1) the distributed calculation of a principal component analysis or singular value decomposition of a highly re…
Removal of Batch Effects using Distribution-Matching Residual Networks
Uri Shaham, Kelly P. Stanton, Jun Zhao +4
Sources of variability in experimentally derived data include measurement error in addition to the physical phenomena of interest. This measurement error is a combination of system…
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of var…
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham, Xiuyuan Cheng, Omer Dror +4
We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First, we prove that the popular model of Dawid and Skene, whic…