3 papers
stat.ML2026
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions
Sehwan Kim, Yan Sun, Faming Liang
Over the past decade, deep neural networks (DNNs) have achieved remarkable success on complex machine-learning tasks, yet the theoretical foundations of their performance remain in…
stat.ML2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Sehwan Kim, Faming Liang
Individual treatment effect estimation has gained significant attention in recent data science literature. This work introduces the Double Neural Network (Double-NN) method to addr…
stat.ML2024
Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
Faming Liang, Sehwan Kim, Yan Sun
While fiducial inference was widely considered a big blunder by R.A. Fisher, the goal he initially set --`inferring the uncertainty of model parameters on the basis of observations…