3 papers
stat.ME2025
Causal Inference on Sequential Treatments via Tensor Completion
Chenyin Gao, Han Chen, Anru R. Zhang +1
Marginal Structural Models (MSMs) are popular for causal inference of sequential treatments in longitudinal observational studies, which however are sensitive to model misspecifica…
stat.ML2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Chenyin Gao, Zhiming Zhang, Shu Yang
This study introduces an innovative method for analyzing the impact of various interventions on customer churn, using the potential outcomes framework. We present a new causal mode…
cs.CV2022
Enhancing convolutional neural network generalizability via low-rank weight approximation
Chenyin Gao, Shu Yang, Anru R. Zhang
Noise is ubiquitous during image acquisition. Sufficient denoising is often an important first step for image processing. In recent decades, deep neural networks (DNNs) have been w…