Changing assignment weights with time-based confounders
The Unofficial Google Data Science Blog
JULY 22, 2020
In practice, one may want to use more complex models to make these estimates. For example, one may want to use a model that can pool the epoch estimates with each other via hierarchical modeling (a.k.a. These MAB algorithms are great at maximizing reward when the models are perfectly specified and probabilities are accurate.
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