Wenwu Gong

GenCAR not only enhances candidate recovery in OOD recommendations but also guarantees control over false discovery rates, a critical factor often overlooked in existing methods.

ProME achieves unprecedented group robustness by aligning environment selection directly with the deployed predictor, leading to superior worst-group accuracy.

CILER not only identifies how latent environments influence user preferences but also achieves superior OOD recommendation performance across diverse datasets and conditions.