research
∙
10/07/2021
De-randomizing MCMC dynamics with the diffusion Stein operator
Approximate Bayesian inference estimates descriptors of an intractable t...
share
research
∙
03/06/2020
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations
Variational inference techniques based on inducing variables provide an ...
research
∙
05/23/2019
Learning spectrograms with convolutional spectral kernels
We introduce the convolutional spectral kernel (CSK), a novel family of ...
research
∙
10/10/2018
