A Proofs
–Neural Information Processing Systems
First, we recall basic properties of convex conjugate functions that we rely on in our proofs. The latter condition holds, e.g., for strongly convex functions. For each n = 1, 2,...,N we perform the following evaluation: ξ W First, we prove the congruence, i.e., βψ We provide the hyperparameters of all the experiments with algorithm 1 in Table 3. We use Adam optimizer with the default betas. Gaussian case, we use a single GPU GTX 1080ti.
Neural Information Processing Systems
Nov-14-2025, 15:05:41 GMT
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