Propose an optimization strategy for variational inference with discrete latent variables in your real-time system. Explain the tradeoff between using specialized algorithms versus more general libraries like Adam or SGD with momentum.

Use specialized optimization algorithms designed to solve small and simple problems quickly, such as stochastic gradient descent. This will ensure fast convergence in the inner loop of the learning algorithm at the cost of potentially lower accuracy or increased memory usage due to simpler update rules.