… Optimal auction design seeks to identify a DSIC auction that maximizes expected revenue. …
as a learning problem. We pose the problem of optimal auction design as a learning problem, …

… OPTIMAL AUCTION DESIGN We start by stating the optimal auction design problem and
providing a few illustrative examples. In the general version of the problem, we are given n bid…

… compatible, two-item auctions. In this work, we model the rules of an auction as a neural
network, and use machine learning for the automated design of optimal auctions. We extend the …

… understanding of the optimal design still remains … deep learning for the automated design
of optimal auctions. We model an auction as a multi-layer neural network, frame optimal …

… Special Case: Single-Bidder Auctions. We highlight a special case in which deep learning
for auctions has been particularly successful – auctions with a single bidder. In the single-…

… optimal auction problem is much more complex. In this work, we give a first attempt for designing
revenue-optimal auction … difficulty, we apply deep learning techniques in the designed …

… In this paper, we develop an optimal auction based on deep learning for the edge resource
… layer neural network architecture based on an analytical solution of the optimal auction. The …

… auctions. In parallel, new research from Ilvento et al. … of auction design. Inspired by these
advances, in this paper, we extend techniques for approximating auctions using deep learning …

… In this work, we address these shortcomings by using deep neural networks (DNNs) instead
of SVRs. We first show how the DNNbased WDP can be reformulated into a mixed integer …

… using deep learning. This work produced rapid progress in finding optimal auctions, by
harnessing the expressiveness of neural networks to model allocation and payment rules, and …