48 citations · 141 across the 14 of their papers we have counts for
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stat.ML2019★ 42 cited
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
Andrew Y. K. Foong, David R. Burt, Yingzhen Li +1
While Bayesian neural networks (BNNs) hold the promise of being flexible, well-calibrated statistical models, inference often requires approximations whose consequences are poorly…
stat.ML2019★ 48 cited
Rates of Convergence for Sparse Variational Gaussian Process Regression
David R. Burt, Carl E. Rasmussen, Mark van der Wilk
Excellent variational approximations to Gaussian process posteriors have been developed which avoid the scaling with dataset size . They reduce the…