Tag Archives: regularization

Adding (more Relaxed) Constraints during Model Inference

In the previous post on posterior regularization we saw how to specify constraints during the -step of expectation maximization that would otherwise be difficult to incorporate into the model itself. The constraints took the following form where we specified our … Continue reading

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Adding Constraints during Model Inference

Coming up with a probabilistic model and its inference procedure is only half the work because it’s well known that just a single run of the inference procedure is hardly likely to give you a satisfactory answer. Out of the … Continue reading

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