Furthermore, arbitrary IRF kernels are not guaranteed to afford analytical estimator functions or unique real-valued solutions.
recent advances in machine learning have led to libraries like Tensorflow (Abadi et al., 2015)which uses auto-differentiation to support optimization of arbitrary computation graphs -and Edward (Tran et al., 2016) -which enables black box variational inference (BBVI) on Tensorflow graphs.