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frankling_ | 1 year ago

We're doing something less expensive: essentially, the overall gradient is computed based on certain statistics based on the branch condition and its derivatives when a branch is encountered.

We mention neural networks because DiscoGrad lets you combine branching programs with neural networks (via Torch) and jointly train/optimize them.

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