Question: 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

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.

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