1 citations · 1 across the 2 of their papers we have counts for
4 papers
A Graph-Prediction-Based Approach for Debiasing Underreported Data
Hanyang Jiang, Yao Xie
We present a novel Graph-based debiasing Algorithm for Underreported Data (GRAUD) aiming at an efficient joint estimation of event counts and discovery probabilities across spatial…
Transfer Learning for Causal Effect Estimation
Song Wei, Hanyu Zhang, Ronald Moore +2
We present a Transfer Causal Learning (TCL) framework when target and source domains share the same covariate/feature spaces, aiming to improve causal effect estimation accuracy in…
Generalized generalized linear models: Convex estimation and online bounds
Anatoli Juditsky, Arkadi Nemirovski, Yao Xie +1
We introduce a new computational framework for estimating parameters in generalized generalized linear models (GGLM), a class of models that extends the popular generalized linear…
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
Jie Wang, Yao Xie
Hypothesis testing for small-sample scenarios is a practically important problem. In this paper, we investigate the robust hypothesis testing problem in a data-driven manner, where…