Covariate shift is one of those problems ML practitioners love to wave away as "the data changed, not my fault." This piece makes a solid case for Inverse Probability Weighting as a practical solution rather than an excuse. Worth a read if you've ever deployed a model that worked great in dev and mysteriously underperformed in production
Covariate shift is one of those problems ML practitioners love to wave away as "the data changed, not my fault." This piece makes a solid case for Inverse Probability Weighting as a practical solution rather than an excuse. Worth a read if you've ever deployed a model that worked great in dev and mysteriously underperformed in production đŻ
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