Generating from a product of experts
		• Here is a correct but inefficient way to generate an unbiased sample from a product of experts: – Let each expert produce a datavector independently. – If all the experts agree, output the datavector. – If they do not all agree, start again. • The experts generate independently, but because of the rejections, their hidden states are not independent in the ensemble of accepted cases. – The proportion of rejected attempts implements the normalization term.