Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Anonymous Author(s) Affiliation

Coverage etc. which can be expressed as a linear form of confusion matrix. We leave this as an open direction for further work. Also in this work we considered datasets where unlabeled data distribution doesn't significantly differ In this section, we show that minimization of weighted consistency regularizer Eq. In this section, we provide some examples for assumptions introduced in Sec. 3 and a proof of Theorem 5. We provide proof of these examples in Sec. In this subsection, we provide a proof of Theorem 5 assuming Lemma 10.