NN algorithm, we
–Neural Information Processing Systems
We thank all reviewers for their valuable comments. Hereafter, we address comments shared by several reviewers. However, our general Theorem 3.2 asks for the continuity of the cumulative distribution function In particular Section 4.2 presents a randomized This randomization technique used to circumvent Assumption 3.1 is rather simple Besides, we mention that Assumption 3.1 is one of the limitation The obtained rates of convergence relies on Proposition C.1 (given in the supplementary material), Section 4. That is to say the rate of convergence given in Theorem 4.4 applies to estimators which can be written as Theorem 4.4 shows, from a theoretical perspective, the dependency with respect to the sample size of labeled and
Neural Information Processing Systems
Aug-17-2025, 02:02:43 GMT
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