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stat.ML2026
Generalized Deep Regression for Repeated Measurements
Kexuan Li
In this paper, we study the estimation of a marginal regression function from independent units with repeated binary, count, or continuous responses using ReLU deep neural networks…
stat.ML2026
A Deep Learning Model for Spatially Clustered Data via Differentiable Cluster Assignment
Kexuan Li, Weidong Ma
We consider nonparametric regression when the association between a response and its covariates changes across an unknown partition of a spatial domain. The proposed estimator lear…
stat.ME2026
A Continuous-Weighted Win Ratio for Hierarchical Composite Endpoints
Kexuan Li
Hierarchical composite endpoints are commonly used in clinical trials when component out- comes differ in clinical importance. The win ratio compares patients across treatment grou…