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a∗a^*

This entry links every published equation using this exact notation. Its meaning may change between equations.

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a∗=arg⁡min⁡a∈A Lval(w∗(a), a)subject tog(a)≤B,w∗(a)=arg⁡min⁡w Ltrain(w,a)a^* = \arg\min_{a \in \mathcal{A}} \ \mathcal{L}_{\text{val}}\big(w^*(a),\, a\big) \quad \text{subject to} \quad g(a) \le B, \qquad w^*(a) = \arg\min_{w} \ \mathcal{L}_{\text{train}}(w, a)

Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared · Equation 19

This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions.

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