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pro vyhledávání: '"Noormousavi, Seyed Mahdi"'
Autor:
Hosseini, Seyed Mohammad, Jamshid, Arash, Noormousavi, Seyed Mahdi, Siavoshani, Mahdi Jafari, Omidvar, Naeimeh
We introduce a novel category of set functions called Extended Deep Submodular functions (EDSFs), which are neural network-representable. EDSFs serve as an extension of Deep Submodular Functions (DSFs), inheriting crucial properties from DSFs while a
Externí odkaz:
http://arxiv.org/abs/2409.12053
Autor:
Jamshidi, Arash, Hosseini, Seyed Mohammad, Noormousavi, Seyed Mahdi, Siavoshani, Mahdi Jafari
We present a new approach to machine learning-powered combinatorial auctions, which is based on the principles of Differential Privacy. Our methodology guarantees that the auction mechanism is truthful, meaning that rational bidders have the incentiv
Externí odkaz:
http://arxiv.org/abs/2405.10622