Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach
- Bin Liu
- Ying Li
- et al.
- 2020
- IEEE TKDE
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34 results for Soumya Ghosh
Statistical model aggregation via parameter matching
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- NeurIPS 2019
Model selection in Bayesian neural networks via horseshoe priors
- Soumya Ghosh
- Jiayu Yao
- et al.
- 2019
- JMLR
A Unified Staging System for Prodromal and Manifest Huntington’s disease
- A. Mohane
- Z. Sun
- et al.
- 2019
- MDS Congress 2019
Bayesian nonparametric federated learning of neural networks
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- ICML 2019
Unsupervised learning with contrastive latent variable models
- Kristen A. Severson
- Soumya Ghosh
- et al.
- 2019
- AAAI 2019
A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data
- Zhaonan Sun
- Soumya Ghosh
- et al.
- 2019
- JAMIA Open
Structured variational learning of Bayesian neural networks with horseshoe priors
- Soumya Ghosh
- Jiayu Yao
- et al.
- 2018
- ICML 2018
Context-sensitive prediction of facial expressivity using multimodal hierarchical Bayesian neural networks
- Ajjen Joshi
- Soumya Ghosh
- et al.
- 2018
- FG 2018
Early prediction of diabetes complications from electronic health records: A multi-task survival analysis approach
- Bin Liu
- Ying Li
- et al.
- 2018
- AAAI 2018