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Strongly convex optimization mistake bounds
Suppose I need to reduce a duty $G(f)$ utilizing first organize strongly convex strategies and I get an answer $f^*$, the place we limit our resolution clique to strongly convex $f$. Now let $f_0$ breathe the abstract minimizer for $G(f)$, not essentially strongly convex.
Are there outcomes on the market that argue the right way to sure $G(f^*)-G(f_0)$? We can occupy our features are flush, however primarily I simply need to know if there are any outcomes on the market.
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