Annealed Sequential Monte Carlo (SMC) samplers are special cases of SMC samplers
where the sequence of distributions can be embedded in a smooth path of distributions …

Geometric tempering is a popular approach to sampling from challenging multi-modal
probability distributions by instead sampling from a sequence of distributions which …

This paper studies a family of estimators based on noise-contrastive estimation (NCE) for
learning unnormalized distributions. The main contribution of this work is to provide a unified …

Sampling from high-dimensional, multi-modal distributions remains a fundamental
challenge across domains such as statistical Bayesian inference and physics-based …

Particle-based Bayesian inference methods by sampling from a partition-free target
(posterior) distribution, eg, Stein variational gradient descent (SVGD), have attracted …

Noise Contrastive Estimation (NCE) is a widely used method for training generative models,
typically used as an alternative to Maximum Likelihood Estimation (MLE) when exact …