Reviews: Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates

Neural Information Processing Systems 

Updated comments: I carefully read the authors' response and the paper again. I was mistaken when I read Algorithms 1 (Eq(2.3)) The authors control the variance by simply averaging a batch of unbiased stochastic gradients. In this paper, the authors considered the problem of zeroth-order (non-)convex stochastic optimization via conditional gradient and gradient methods. However, all the techniques are already known but none are mentioned in the paper.