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stat.ML2020
A case for new neural network smoothness constraints
Mihaela Rosca, Theophane Weber, Arthur Gretton +1
How sensitive should machine learning models be to input changes? We tackle the question of model smoothness and show that it is a useful inductive bias which aids generalization,…
stat.ML2013★ 72 cited
Automated Variational Inference in Probabilistic Programming
David Wingate, Theophane Weber
We present a new algorithm for approximate inference in probabilistic programs, based on a stochastic gradient for variational programs. This method is efficient without restrictio…