This work explores the impact of financial constraints in the study of auctions and mechanisms. Reaching efficient and stable outcomes is a key goal in market design, and the introduction of budgets poses challenges. We investigate simple models where bidders are subject to constraints and reverse auctions with a budgeted auctioneer. Furthermore, we address the problem of computing efficient allocations with reduced communication complexity, by leveraging learning methods to enhance preference elicitation.
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This work explores the impact of financial constraints in the study of auctions and mechanisms. Reaching efficient and stable outcomes is a key goal in market design, and the introduction of budgets poses challenges. We investigate simple models where bidders are subject to constraints and reverse auctions with a budgeted auctioneer. Furthermore, we address the problem of computing efficient allocations with reduced communication complexity, by leveraging learning methods to enhance preference e...
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