The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling

Leveraging the coherent exploration of Hamiltonian flow, Hamiltonian Monte Carlo produces computationally efficient Monte Carlo estimators, even with respect to complex and high-dimensional target dis