Hamiltonian Monte Carlo (HMC) is a powerful algorithm to sample latent
v...
Variational inference for state space models (SSMs) is known to be hard ...
Off-policy evaluation is a key component of reinforcement learning which...
Using powerful posterior distributions is a popular approach to achievin...