Mature internet advertising platforms offer high-level campaign management tools to help
advertisers run their campaigns, often abstracting away the intricacies of how each ad is …

Abstract We study Proportional Response Dynamics (PRD) in linear Fisher markets, where
participants act asynchronously. We model this scenario as a sequential process in which at …

Min-max optimization problems (ie, min-max games) have been attracting a great deal of
attention because of their applicability to a wide range of machine learning problems …

We consider the problem of fairly allocating sequentially arriving items to a set of individuals.
For this problem, the recently-introduced PACE algorithm leverages the dual averaging …

Linear Fisher market (LFM) is an equilibrium model for fair and efficient resource allocation,
and first-price pacing equilibrium (FPPE) is a model for budget-management in first-price …

Computing market equilibria is a problem of both theoretical and applied interest. Much
research to date focuses on the case of static Fisher markets with full information on buyers' …

We study learning dynamics in distributed production economies such as blockchain mining,
peer-to-peer file sharing and crowdsourcing. These economies can be modelled as multi …

Most of the work in auction design literature assumes that bidders behave rationally based
on the information available for each individual auction. However, in today's online …

Most of the work in the auction design literature assumes that bidders behave rationally
based on the information available for every individual auction, and the revelation principle …

Linear Fisher markets are a fundamental economic model with diverse applications. In the
finite-dimensional case of n buyers and m items, a market equilibrium can be computed …