Mark van der Wilk
Mark van der Wilk
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1
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
Learning Invariances using the Marginal Likelihood
Concrete problems for autonomous vehicle safety: advantages of Bayesian deep learning
Convolutional Gaussian Processes
Understanding Probabilistic Sparse Gaussian Process Approximations
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
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