147 citations · 448 across the 18 of their papers we have counts for
4 papers · 1 filter
Unsupervised learning with contrastive latent variable models
Kristen Severson, Soumya Ghosh, Kenney Ng
In unsupervised learning, dimensionality reduction is an important tool for data exploration and visualization. Because these aims are typically open-ended, it can be useful to fra…
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights
Melanie F. Pradier, Weiwei Pan, Jiayu Yao +2
As machine learning systems get widely adopted for high-stake decisions, quantifying uncertainty over predictions becomes crucial. While modern neural networks are making remarkabl…
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Bayesian Neural Networks (BNNs) have recently received increasing attention for their ability to provide well-calibrated posterior uncertainties. However, model selection---even ch…
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care
Bin Liu, Ying Li, Soumya Ghosh +3
Type 2 diabetes mellitus (T2DM) is a chronic disease that often results in multiple complications. Risk prediction and profiling of T2DM complications is critical for healthcare pr…