3 papers
cs.LG2026
BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization
Jackie Rao, Ferran Gonzalez Hernandez, Leon Gerard +1
Antibody lead optimization is inherently a multi-objective challenge in drug discovery. Achieving a balance between different drug-like properties is crucial for the development of…
stat.ML2026
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Jackie Rao, Paul D. W. Kirk
Effective clustering of biomedical data is crucial in precision medicine, enabling accurate stratifiction of patients or samples. However, the growth in availability of high-dimens…
stat.ML2025
Federated Variational Inference for Bayesian Mixture Models
Jackie Rao, Francesca L. Crowe, Tom Marshall +2
We present a federated learning approach for Bayesian model-based clustering of large-scale binary and categorical datasets. We introduce a principled 'divide and conquer' inferenc…