Scalable inference and private co-training for Gaussian processes

<p>Two principal problems are pursued in this thesis: that of scaling inference for Gaussian process regression to very large numbers of data points, and that of differentially private co-training between multiple Gaussian processes with distinct private views of the data.</p> <p>T...