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The differentiability of the information projection relies on implicit differentiation of the first-order optimality conditions of the constrained optimization problem, thereby backpropagating the gradient of the projection result with respect to the design parameters; this is the mathematical basis that enables FIDE to perform gradient-based optimization.
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10/30/2026
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