We would like to thank all reviewers for their comments and questions
–Neural Information Processing Systems
We would like to thank all reviewers for their comments and questions. We appreciate your recommendation about reordering the paper. Y our example is correct. We will rephrase this remark to make it more clear. Nguyen et al. [25] recognize the fact that for a strongly-convex Hence, like Nguyen et al. [25], Theorem 1 (iii) avoids the incompatible bounded-gradients assumption
Neural Information Processing Systems
Oct-1-2025, 22:53:14 GMT
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