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Learning Linear Programs from Optimal Decisions Yingcong Tan
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Linear programs are often specified by hand, using prior knowledge of relevant costs and constraints.
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PiRank: Scalable Learning To Rank via Differentiable Sorting
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The preference over items is specified via relevance labels for each candidate.
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Supplementary Materials for " Generative vs Discriminative: Rethinking The Meta-Continual Learning "
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In the above formulations, we assumed a uniform distribution on class labels for simplicity in notation. It is easy to generalize to the case of unbalanced class distributions.
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