59 citations · 173 across the 29 of their papers we have counts for
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math.ST2019★ 4 cited
Frequentist Consistency of Generalized Variational Inference
Jeremias Knoblauch
This paper investigates Frequentist consistency properties of the posterior distributions constructed via Generalized Variational Inference (GVI). A number of generic and novel str…
stat.ML2019★ 8 cited
Robust Deep Gaussian Processes
Jeremias Knoblauch
This report provides an in-depth overview over the implications and novelty Generalized Variational Inference (GVI) (Knoblauch et al., 2019) brings to Deep Gaussian Processes (DGPs…
stat.ML2019★ 59 cited
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
We advocate an optimization-centric view on and introduce a novel generalization of Bayesian inference. Our inspiration is the representation of Bayes' rule as infinite-dimensional…