We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
We characterize truthful mechanisms in two multi-parameter domains. The first characterization shows that every mechanism for combinatorial auctions with two subadditive bidders t...
Markets with time dependent goods are special cases of multi commodity markets.The design of large flexible markets with time dependent goods is a computational challenge. In thi...
Most research on auctions assumes that potential bidders have private information about their willingness to pay for the item being auctioned, and that they use this information s...
This paper analyzes the worst-case efficiency ratio of falsename-proof combinatorial auction mechanisms. False-nameproofness generalizes strategy-proofness by assuming that a bidd...
Atsushi Iwasaki, Vincent Conitzer, Yoshifusa Omori...