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Proof Of Theorem 1.pdf

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Preview of Proof of Theorem 1
🔗 Source: proceedings.mlr.press
📊 Size: 410 KB
📄 Pages: 20 pages
⬇️ Downloads: 158

Summary

The expected value of the metrics can be computed as the sum of probability-weighted metrics, which can be transformed into a form that depends on the marginal probabilities of P(Piˆyi = k) and Q(Piˇyi = l). The optimization can be performed over p1k and q1k, and the values of p0k and q0k can be computed from p1k and q1k. The marginal probability matrices P and Q must satisfy certain constraints, including non-negativity, upper bounds, and normalization. The optimization problem can be simplified and solved using subgradient methods.

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Description

The expected value of the metrics can be computed as the sum of probability-weighted metrics, which can be transformed into a form that depends on the marginal...

Technical Information

  • File Format: PDF
  • File Size: 410 KB
  • Pages: 20
  • Language: EN
  • Total Downloads: 158
  • Last Updated: 3 hours ago

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