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20102026
most citedEfficient and Adaptive Linear Regression in Semi-Supervised Settings

86 citations · 307 across the 40 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

stat.ME2018★ 2 cited

Spherical Regression under Mismatch Corruption with Application to Automated Knowledge Translation

Xu Shi, Xiaoou Li, Tianxi Cai

Motivated by a series of applications in data integration, language translation, bioinformatics, and computer vision, we consider spherical regression with two sets of unit-length…

stat.CO2018★ 1 cited

A Fast Divide-and-Conquer Sparse Cox Regression

Yan Wang, Nathan Palmer, Qian Di +3

We propose a computationally and statistically efficient divide-and-conquer (DAC) algorithm to fit sparse Cox regression to massive datasets where the sample size is exceedin…

stat.ME2018

Multi-view Banded Spectral Clustering with Application to ICD9 Clustering

Luwan Zhang, Katherine Liao, Issac Kohane +1

Despite recent development in methodology, community detection remains a challenging problem. Existing literature largely focuses on the standard setting where a network is learned…

cs.CL2018★ 1 cited

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

Andrew L. Beam, Benjamin Kompa, Allen Schmaltz +6

Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing. In this article, we present a new set of…

stat.ME2018★ 28 cited

Robust and Efficient Semi-Supervised Estimation of Average Treatment Effects with Application to Electronic Health Records Data

David Cheng, Ashwin Ananthakrishnan, Tianxi Cai

We consider the problem of estimating the average treatment effect (ATE) in a semi-supervised learning setting, where a very small proportion of the entire set of observations are…

stat.ME2018

Variance Components Genetic Association Test for Zero-inflated Count Outcomes

Matthew Goodman, Lori Chibnik, Tianxi Cai

Commonly in biomedical research, studies collect data in which an outcome measure contains informative excess zeros; for example when observing the burden of neuritic plaques in br…