2018
Variational Learning on Aggregate Outputs with Gaussian Processes
NeurIPS 2018poster
While a typical supervised learning framework assumes that the inputs and the outputs are measured at the same levels of granularity, many applications, including global mapping of disease, only have access to outputs at a much coarser level than that of the inputs. Aggregation of outputs makes gene…