the Hamiltonian bound

Algorithm 6 Generating the (non-differentiable) Hamiltonian AIS variational bound. Figure 1 shows the results. The first row shows the results obtained by tuning the pair (,η) and each other parameter individually for different values of K, and the second row shows the results obtained by tuning increasingly more parameters. It can be observed that tuning β and q(z) lead to the largest gains in performance. Figure 4: Tuning more parameters leads to significantly better results.