3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Differentially Private Statistical Inference through -Divergence One Posterior Sampling
Jack Jewson, Sahra Ghalebikesabi, Chris Holmes
Differential privacy guarantees allow the results of a statistical analysis involving sensitive data to be released without compromising the privacy of any individual taking part.…
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…
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
We present the very first robust Bayesian Online Changepoint Detection algorithm through General Bayesian Inference (GBI) with -divergences. The resulting inference procedure is…