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stat.ML2026
SMART Fine-tuning Factor Augmented Neural Lasso
Jinhang Chai, Jianqing Fan, Cheng Gao +1
Fine-tuning is a widely used strategy for adapting pre-trained models to new tasks, yet its methodology and theoretical properties in high-dimensional nonparametric settings with v…
stat.ML2025
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Jianqing Fan, Soham Jana, Sanjeev Kulkarni +1
We investigate the problem of estimating the average treatment effect (ATE) under a very general setup where the covariates can be high-dimensional, highly correlated, and can have…
stat.ML2022
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation
Kan Chen, Qishuo Yin, Qi Long
Estimating treatment effects is of great importance for many biomedical applications with observational data. Particularly, interpretability of the treatment effects is preferable…