2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
NeurIPS 2018spotlight
Approximate inference in probabilistic graphical models (PGMs) can be grouped into deterministic methods and Monte-Carlo-based methods. The former can often provide accurate and rapid inferences, but are typically associated with biases that are hard to quantify. The latter enjoy asymptotic consiste…