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proportional estimation error

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Figure 1: Proportional estimation error (maximum of 1.0) of E[ L

Neural Information Processing SystemsAug-16-2025, 05:16:39 GMT

(see Fig 2). See Fig 3 for a demonstration of this. We will also make sure to include the justification for this in the Appendix. Fourier domain is less when injecting noise only on data. Y ou make an interesting point about Fig 1: All models were trained with a relatively low learning rate (lr) of 0.001, In light of this we have run the baseline with lr=0.1 and found that Exploring this connection further would be a very interesting stream of research.

experiment, proportional estimation error, theorem 1, (15 more...)

Neural Information Processing Systems

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