no code implementations • 21 Dec 2017 • Mario Lezcano Casado, Atilim Gunes Baydin, David Martinez Rubio, Tuan Anh Le, Frank Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat
We consider the problem of Bayesian inference in the family of probabilistic models implicitly defined by stochastic generative models of data.
3 code implementations • ICLR 2018 • Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio, Mark Schmidt, Frank Wood
We introduce a general method for improving the convergence rate of gradient-based optimizers that is easy to implement and works well in practice.