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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.
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.
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