These results confirm our proposed LEHD model can significantly improve the state-of-the-art performance for constructive NCO.

We explore the minimax optimal error associated with a demographic parity-constrained regression problem within the context of a linear model.

Current operator library with quantized operators is not feasible for vision transformer inference because of the specific operators including the GeLU activation and layer normalization. We provide the details of how to approximate the square root operators in Algorithm.1. B.2 Hypernetwork Search Space We set hypernetwork search space with the following factors. 1 1. We use a population size of 50.

The details include: Searching in the searched space. Q-K -V dimension could be smaller than the embedding dimension. In this section, we present the details of supernet training and evolutionary algorithm. At last, we update the corresponding weights with the fused gradients. Alg. 2 shows the evolution search in our method.

Heuristic search aims to obtain a least-cost path to the destination. Onthewaytothedestination, heuristic search is achieved by progressively selecting the extended path. As the other part, the cost of estimating the distance from noden to the destinationh(n) could be similar to the domain-specific representationsH(x). The fundament representationsF(x)could be calculated by the sum ofG(x)andH(x). Meanwhile, since bothGandF could classify source samples correctly,the differences on source domain are little, which means S(G) = S(F).