Introduces an adaptive thinning scheme to make PDMP-based MCMC feasible for Bayesian inference in neural networks by handling model-specific IPPs efficiently.
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Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Introduces an adaptive thinning scheme to make PDMP-based MCMC feasible for Bayesian inference in neural networks by handling model-specific IPPs efficiently.