2 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Learning Nonparametric Volterra Kernels with Gaussian Processes
Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
This paper introduces a method for the nonparametric Bayesian learning of nonlinear operators, through the use of the Volterra series with kernels represented using Gaussian proces…
Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
Aggregated data is commonplace in areas such as epidemiology and demography. For example, census data for a population is usually given as averages defined over time periods or spa…
Gaussian Process Regression for Binned Data
Michael Thomas Smith, Mauricio A Alvarez, Neil D Lawrence
Many datasets are in the form of tables of binned data. Performing regression on these data usually involves either reading off bin heights, ignoring data from neighbouring bins or…