Appendix A Generalised Distributive Property

Neural Information Processing Systems 

The Distributive Law is an extremely useful tool for analysis and computation in mathematics and computer science. It can also be used to make algorithms more memory-efficient. For example, if we wish to take the DFT of a shifted signal, we can avoid storing the signal itself. While the Distributive Law is defined for the group of real numbers under additivity (R, +), we can also define a more general distributive property for the Abelian group defined by an aggregator ( R, null) . Note that while our solution holds for any function f, it focuses on the special cases α = 0,β = 0 and α = 1,β = 0 .

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