Use Metropolis-Hastings to perform inference in the binary GP classifier. The MH sampler should repeatedly resample values of \(\mathbf{f}\). For each sample, do a noise-free regression to compute \(f^{*}\) and then feed this through the logistic function to get a probability sample.