Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions

Neural Information Processing Systems 

The more restricted problem of sampling from a particular distribution family we call "well-conditioned" has garnered a substantial amount of recent research effort from the algorithmic learning