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Understanding Pathologies of Deep Heteroskedastic Regression
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference
Incorporating Unlabelled Data into Bayesian Neural Networks
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
PAC-Bayesian Meta-Learning: From Theory to Practice
Sparse Gaussian Process Variational Autoencoders