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Adaptive Monte Carlo via Bandit Allocation
We consider the problem of sequentially choosing between a set of unbiased Monte Carlo estimators to minimize the mean-squared-error (MSE) of a final combined estimate.
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
Industrial recommender systems are frequently tasked with approximating probabilities for multiple, often closely related, user actions.
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