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stat.ME2026
Co-Supervised Tree Synthesis for Interpretable Subgroup Identification and Honest Treatment Effect Inference in Randomized Trials
Evgenii Kuriabov, Zhaoxue Tong, Jia Li
Identifying patient subgroups with heterogeneous treatment effects is central to precision medicine, yet existing approaches face a tension. Black-box methods estimate individualiz…
stat.ME2024
SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction
Evgenii Kuriabov, Jia Li
Explainable machine learning (XML) has emerged as a major challenge in artificial intelligence (AI). Although black-box models such as Deep Neural Networks and Gradient Boosting of…