153 citations · 595 across the 11 of their papers we have counts for
Showing 2014Show all
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stat.ML2014★ 20 cited
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao, Mladen Kolar, Han Liu
We propose a robust inferential procedure for assessing uncertainties of parameter estimation in high-dimensional linear models, where the dimension can grow exponentially fast…
stat.ML2014★ 9 cited
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression
Yang Ning, Tianqi Zhao, Han Liu
We propose a likelihood ratio based inferential framework for high dimensional semiparametric generalized linear models. This framework addresses a variety of challenging problems…
math.ST2014★ 8 cited
A Partially Linear Framework for Massive Heterogeneous Data
Tianqi Zhao, Guang Cheng, Han Liu
We consider a partially linear framework for modelling massive heterogeneous data. The major goal is to extract common features across all sub-populations while exploring heterogen…