Appendix A Outline This appendix is organized as follows: In Section B we provide preliminaries and notations used
–Neural Information Processing Systems
From eq. (8) we get a lower bound on the entries of We employ the dynamics equation eq. We employ the Grönwall's inequality. For D = 2 from eq. (20) we get γ (t) log null 1 + 8 α We show that Condition 8, which is equivalent to Condition 5, holds for the linearized model. From eq. (10) we have that γ Indeed from eqs. (13) and (11) we have ˆ w = lim We change variables t γ ( t) and using eq. Next, it is easy to verify that for all i = 1,...,d: ˆ w The proof is similar in spirit to the proof for the case D = 2 (see Appendix F.1). Proof.
Neural Information Processing Systems
Nov-15-2025, 17:38:17 GMT
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