2 citations · 3 across the 8 of their papers we have counts for
3 papers · 1 filter
Assumption-lean logistic regression with missing covariates
Jyotishka Ray Choudhury, Kabir Aladin Verchand, Richard J. Samworth +1
Missing covariates are frequently encountered in supervised learning problems, and classical methods for estimation using such data use carefully chosen imputation schemes for miss…
Adaptive confidence intervals with missing data
Tianyi Ma, Kabir A. Verchand, Chao Gao +1
We consider the construction of confidence intervals for population means when observations are subject to missingness. To accommodate more general missingness mechanisms than miss…
High-dimensional estimation with missing data: Statistical and computational limits
Kabir Aladin Verchand, Ankit Pensia, Saminul Haque +1
We consider computationally-efficient estimation of population parameters when observations are subject to missing data. In particular, we consider estimation under the realizable…