Choosing a proper set of kernel functions is an important problem in lea...
Recent advances in Deep Gaussian Processes (DGPs) show the potential to ...
In the analysis of sequential data, the detection of abrupt changes is
i...
Analyzing time series data is important to predict future events and cha...
Probabilistic programming languages represent complex data with intermin...
Gaussian Processes (GPs) provide a general and analytically tractable wa...