Dimitri Perrin

Piecewise Deterministic Markov Processes for Bayesian Neural Networks

Inference on modern Bayesian Neural Networks (BNNs) often relies on a variational inference treatment, imposing violated assumptions of independence and the form of the posterior. Traditional MCMC approaches avoid these assumptions at the cost of increased computation due to its incompatibility to s…