Valuation Model

Valuation models aim to quantify the value of goods, data, or actions, often within the context of resource allocation, pricing strategies, or machine learning. Current research focuses on developing robust and efficient algorithms for various settings, including dynamic pricing with general valuation functions, fair allocation of indivisible goods using techniques like envy-freeness up to one good (EF1) and graph neural networks for scalable property valuation. These advancements have significant implications for diverse fields, improving the efficiency and fairness of resource allocation in auctions, e-commerce, and machine learning applications, as well as enhancing the interpretability of complex models.