ProjectNet learns a matrix-parameterized update rule that approximates optimization solutions in a few forward steps, and using this surrogate in end-to-end training cuts training time by 2 to 10 times while keeping decision costs competitive.
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Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
ProjectNet learns a matrix-parameterized update rule that approximates optimization solutions in a few forward steps, and using this surrogate in end-to-end training cuts training time by 2 to 10 times while keeping decision costs competitive.