Improving sampling efficacy on high-dimensional distributions with thin high-density regions using Conservative Hamiltonian Monte Carlo
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Hamiltonian Monte Carlo is a prominent Markov Chain Monte Carlo algorithm, which employs symplectic integrators to sample from high-dimensional target distributions in many applications, such as statistical mechanics, Bayesian statistics, and generative models... ...
