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docs/deprecated/math_old.md

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# Mathematical background
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Here we describe the theoretical framework in which `InferOpt.jl` operates.
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Our goal is make machine learning models more expressive by incomporating combinatorial optimization algorithms as layers.
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Our goal is make machine learning models more expressive by incorporating combinatorial optimization algorithms as layers.
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For a broader perspective on the interactions between machine learning and combinatorial optimization, please refer to the following review papers:
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docs/src/math.md

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# Mathematical background
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Our goal is make machine learning models more expressive by incomporating combinatorial optimization algorithms as layers.
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Our goal is make machine learning models more expressive by incorporating combinatorial optimization algorithms as layers.
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For a broader perspective on the interactions between machine learning and combinatorial optimization, please refer to the following review papers:
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!!! note "Reference"

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