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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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5 papers · 1 filter

math.ST2021

Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss

Nilanjana Laha, Aaron Sonabend-W, Rajarshi Mukherjee +1

Large health care data repositories such as electronic health records (EHR) open new opportunities to derive individualized treatment strategies for complicated diseases such as se…

math.ST2021★ 5 cited

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction

Jue Hou, Zijian Guo, Tianxi Cai

Risk modeling with EHR data is challenging due to a lack of direct observations on the disease outcome, and the high dimensionality of the candidate predictors. In this paper, we d…

math.ST2021★ 1 cited

On the global identifiability of logistic regression models with misclassified outcomes

Rui Duan, Yang Ning, Jiasheng Shi +3

In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…

math.ST2015★ 10 cited

L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

Matey Neykov, Jun S. Liu, Tianxi Cai

It is known that for a certain class of single index models (SIMs) , support recovery is impossible when $\…

math.ST2012★ 48 cited

Nonconcave penalized composite conditional likelihood estimation of sparse Ising models

Lingzhou Xue, Hui Zou, Tianxi Cai

The Ising model is a useful tool for studying complex interactions within a system. The estimation of such a model, however, is rather challenging, especially in the presence of hi…