RAISOR is a recursive adaptive importance sampler that uses a proven exponential replenishment schedule to balance computational cost and sample quality under model misspecification.
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Recursive Adaptive Importance Sampling with Optimal Replenishment
RAISOR is a recursive adaptive importance sampler that uses a proven exponential replenishment schedule to balance computational cost and sample quality under model misspecification.