Review for NeurIPS paper: A Variational Approach for Learning from Positive and Unlabeled Data
–Neural Information Processing Systems
The trustworthiness of f_p In spite of the clear assumption statements, I have concerns of utilizing f_p in the given setting. I am comfortable up to the derivation of Theorem 6 and Eq 6. However, the authors use Eq 7 to optimize the KL divergence, and Eq 7 uses the expectation with the distribution of f_p. While the paper asserts that the distribution function, f_p, can be approximated by the positive dataset. However, Algorithm 1 uses the sample minibatch of B P to empirically estimate f_p.
Neural Information Processing Systems
Jan-27-2025, 11:11:00 GMT
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