Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
probability that b=1. Can LAX have lower variance than the Reparameterization trick? It seems like it can. We said that when c_ϕ approaches f, we’ll get back the Reparameterization trick. Then we said there’s a better way to optimize c_ϕ than forcing to be as close to f as possible. This suggests