We show how the basic Combinatory Homomorphic Automatic Differentiation
...
We present a simple technique for semantic, open logical relations argum...
We give a simple, direct and reusable logical relations technique for
la...
Where dual-numbers forward-mode automatic differentiation (AD) pairs eac...
Where dual-numbers forward-mode automatic differentiation (AD) pairs eac...
We show how to apply forward and reverse mode Combinatory Homomorphic
Au...
We introduce Combinatory Homomorphic Automatic Differentiation (CHAD), a...
We present semantic correctness proofs of automatic differentiation (AD)...
A central goal of probabilistic programming languages (PPLs) is to separ...
Probabilistic programming is perfectly suited to reliable and transparen...
We show how to define source-code transformations for forward- and
rever...
We present semantic correctness proofs of forward-mode Automatic
Differe...
We present semantic correctness proofs of Automatic Differentiation (AD)...
It is not always clear how to adjust for control data in causal inferenc...
We give an adequate denotational semantics for languages with recursive
...
We present a modular semantic account of Bayesian inference algorithms f...