AppendixOutline
–Neural Information Processing Systems
Hence, we rely on subgradients defined in Equation 7. Since, many subgradient directions exist for the margin points, for consistency, we stick with xlγ(w;(x,y)) = {0}wheny w,x = γ. Note, that thesetofpoints inX satisfying this equality isazeromeasure set. For simplicity we shall treat the projection operation as just renormalizing w(t+1) to have unit norm,i.e., w(t+1) 2 = 1, t 0. This is not necessarily restrictive. A.1 TechnicalLemmas In this section we shall state some technical lemmas without proof, with references to works that contain the full proof. We shall use these in the following sections when proving our lemmas in Section5.
Neural Information Processing Systems
Feb-9-2026, 21:14:53 GMT
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