Pengfei Lyu

Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data

Machine learning models often perform well on tabular data by optimizing average prediction accuracy. However, they may underperform on specific subsets due to inherent biases and spurious correlations in the training data, such as associations with non-causal features like demographic information.…