We report on what seems to be an intriguing connection between variable integration time and partial velocity refreshment of Ideal Hamiltonian Monte Carlo samplers, both of which can be used for reducing the dissipative behavior of the dynamics. More concretely, we show that on quadratic potentials, efficiency can be improved through these means by a $\sqrt{\kappa}$ factor in Wasserstein-2 distance, compared to classical constant integration time, fully refreshed HMC. We additionally explore the benefit of randomized integrators for simulating the Hamiltonian dynamics under higher order regularity conditions.
翻译:更具体地说,我们证明,在二次潜力方面,瓦塞斯特林-2距离的1美元系数可以通过这些手段提高效率,与传统常态融合时间相比,与传统常态融合时间相比,我们进一步探索随机化的集成者在较高规律条件下模拟汉密尔顿动态的好处。