3 papers
cs.LG2024
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
Bao Hoang, Yijiang Pang, Siqi Liang +3
Independent and identically distributed (i.i.d.) data is essential to many data analysis and modeling techniques. In the medical domain, collecting data from multiple sites or inst…
cs.LG2024
Towards Stability of Parameter-Free Optimization
Yijiang Pang, Shuyang Yu, Bao Hoang +1
Hyperparameter tuning, particularly the selection of an appropriate learning rate in adaptive gradient training methods, remains a challenge. To address this challenge, we propose…
cs.CV2024
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
Yijiang Pang, Bao Hoang, Jiayu Zhou
Sub-population shift is a specific type of domain shift that highlights changes in data distribution within specific sub-groups or populations between training and testing. Sub-pop…