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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
Adding Constraints during Model Inference
Coming up with a probabilistic model and its inference procedure is only half the work because itâ€™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