2015, Knowledge Discovery, Reporting and Testing

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation

Experimentation Statistics Testing Strategy

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD

KDD Testing Machine Learning Modeling

Data Leaders Brief

Changing assignment weights with time-based confounders

Using Empirical Bayes to approximate posteriors for large "black box" estimators

Webinars

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