3 papers
stat.ML2025
IndiSeek learns information-guided disentangled representations
Yu Gui, Cong Ma, Zongming Ma
Learning disentangled representations is a fundamental task in multi-modal learning. In modern applications such as single-cell multi-omics, both shared and modality-specific featu…
stat.ML2025
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
Yu Gui, Cong Ma, Zongming Ma
Multi-modal contrastive learning as a self-supervised representation learning technique has achieved great success in foundation model training, such as CLIP~\citep{radford2021lear…
stat.ME2024
Distributionally robust risk evaluation with an isotonic constraint
Yu Gui, Rina Foygel Barber, Cong Ma
Statistical learning under distribution shift is challenging when neither prior knowledge nor fully accessible data from the target distribution is available. Distributionally robu…