12 citations · 24 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LO2020★ 12 cited
Densities of Almost Surely Terminating Probabilistic Programs are Differentiable Almost Everywhere
Carol Mak, C. -H. Luke Ong, Hugo Paquet +1
We study the differential properties of higher-order statistical probabilistic programs with recursion and conditioning. Our starting point is an open problem posed by Hongseok Yan…
cs.PL2020★ 10 cited
A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation
Carol Mak, Luke Ong
Building on the observation that reverse-mode automatic differentiation (AD) -- a generalisation of backpropagation -- can naturally be expressed as pullbacks of differential 1-for…