2 papers
cs.LG2024
A robust assessment for invariant representations
Wenlu Tang, Zicheng Liu
The performance of machine learning models can be impacted by changes in data over time. A promising approach to address this challenge is invariant learning, with a particular foc…
stat.ML2023
Conformal Inference for Invariant Risk Minimization
Wenlu Tang, Zicheng Liu
The application of machine learning models can be significantly impeded by the occurrence of distributional shifts, as the assumption of homogeneity between the population of train…