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math.ST2020★ 4 cited
Testing whether a Learning Procedure is Calibrated
Jon Cockayne, Matthew M. Graham, Chris J. Oates +2
A learning procedure takes as input a dataset and performs inference for the parameters of a model that is assumed to have given rise to the dataset. Here we consider learning…
math.ST2016
Convergence Rates for a Class of Estimators Based on Stein's Method
Chris J. Oates, Jon Cockayne, François-Xavier Briol +1
Gradient information on the sampling distribution can be used to reduce the variance of Monte Carlo estimators via Stein's method. An important application is that of estimating an…