Combining multiple sensors enables a robot to maximize its perceptual
aw...
Importance sampling (IS) is valuable in reducing the variance of Monte C...
This paper focuses on variational inference with intractable likelihood
...
Variational Bayes (VB) is a popular tool for Bayesian inference in
stati...
This paper investigates two typical image-type representations for event...
We consider the problem of estimating the probability of a large loss fr...
Conditional value at risk (CVaR) is a popular measure for quantifying
po...