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Revisiting the Effects of Stochasticity for Hamiltonian Samplers

30 June 2021

Papers citing "Revisiting the Effects of Stochasticity for Hamiltonian Samplers"

3 / 3 papers shown

Title
Randomised Splitting Methods and Stochastic Gradient Descent Luke Shaw Peter A. Whalley 104 1 0 05 Apr 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin Peter Whalley Neil K. Chada Benedict Leimkuhler BDL 113 4 0 14 Oct 2024
On permutation symmetries in Bayesian neural network posteriors: a variational perspective Simone Rossi Ankit Singh T. Hannagan 69 3 0 16 Oct 2023