86 citations · 307 across the 40 of their papers we have counts for
5 papers · 1 filter
Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
Jessica Gronsbell, Tianxi Cai
In many modern machine learning applications, the outcome is expensive or time-consuming to collect while the predictor information is easy to obtain. Semi-supervised learning (SSL…
Functional principal variance component testing for a genetic association study of HIV progression
Denis Agniel, Wen Xie, Myron Essex +1
HIV-1C is the most prevalent subtype of HIV-1 and accounts for over half of HIV-1 infections worldwide. Host genetic influence of HIV infection has been previously studied in HIV-1…
Estimating Average Treatment Effects with a Double-Index Propensity Score
David Cheng, Abhishek Chakrabortty, Ashwin N. Ananthakrishnan +1
We consider estimating average treatment effects (ATE) of a binary treatment in observational data when data-driven variable selection is needed to select relevant covariates from…
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes
Abhishek Chakrabortty, Matey Neykov, Raymond Carroll +1
We consider the recovery of regression coefficients, denoted by , for a single index model (SIM) relating a binary outcome to a set of possibly high dimensional…
Efficient and Adaptive Linear Regression in Semi-Supervised Settings
Abhishek Chakrabortty, Tianxi Cai
We consider the linear regression problem under semi-supervised settings wherein the available data typically consists of: (i) a small or moderate sized 'labeled' data, and (ii) a…