3 papers
stat.ML2025
Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
Tran Tuan Kiet, Nguyen Thang Loi, Vo Nguyen Le Duy
Anomaly detection (AD) plays a vital role across a wide range of domains, but its performance might deteriorate when applied to target domains with limited data. Domain Adaptation…
stat.ML2025
Statistical Inference for Sequential Feature Selection after Domain Adaptation
Duong Tan Loc, Nguyen Thang Loi, Vo Nguyen Le Duy
In high-dimensional regression, feature selection methods, such as sequential feature selection (SeqFS), are commonly used to identify relevant features. When data is limited, doma…
stat.ML2024
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy
Feature Selection (FS) under domain adaptation (DA) is a critical task in machine learning, especially when dealing with limited target data. However, existing methods lack the cap…