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.
Neural Information Processing Systems
Oct-7-2024, 08:18:06 GMT
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