Diana Cai
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Black-box variational inference using Gaussian score matching
Batch and match: black-box variational inference using a score-based divergence
Probabilistic prediction of material stability: integrating convex hulls into Bayesian active learning
Optimizing the design of spatial genomics studies
Probabilistic Inference When the Model is Wrong
Probabilistic inference when the model is wrong
Multi-fidelity scientific discovery and design
Probabilistic inference under misspecification
Kernel density Bayesian inverse reinforcement learning
Machine learning for biomedical health applications
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