Titlebook: Web and Internet Economics; 12th International C Yang Cai,Adrian Vetta Conference proceedings 2016 Springer-Verlag GmbH Germany 2016 algori

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Aris Anagnostopoulos,Ruggiero Cavallo,Stefano Leonardi,Maxim Sviridenko

假裝是我

迅速成長

Distributed Methods for Computing Approximate Equilibria,domized expected-polynomial-time algorithm that uses poly-logarithmic communication and finds a 0.6528-WSNE, which beats the previous best known guarantee of 0.732. It can also be applied to the case of ., where we obtain a randomized expected-polynomial-time algorithm that uses poly-logarithmic com

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Distributed Methods for Computing Approximate Equilibria,domized expected-polynomial-time algorithm that uses poly-logarithmic communication and finds a 0.6528-WSNE, which beats the previous best known guarantee of 0.732. It can also be applied to the case of ., where we obtain a randomized expected-polynomial-time algorithm that uses poly-logarithmic com

CUMB

巨大沒有

Multilinear Games,on, then we show that mixed-strategies have an equivalent representation in terms of . forming a polytope in polynomial dimension..The canonical representation for multilinear games can still be exponential in the number of players, a typical obstacle in multi-player games. Therefore, it is necessar

Magisterial

Buying Data from Privacy-Aware Individuals: The Effect of Negative Payments,sts reflect individuals’ valuations of privacy and are modeled by “cost coefficients.” To cope with the uncertainty in the cost coefficients and drive down the data analyst’s cost, we utilize possible negative payments (which penalize individuals with “unacceptably” high valuations of privacy) and e

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Buying Data from Privacy-Aware Individuals: The Effect of Negative Payments,sts reflect individuals’ valuations of privacy and are modeled by “cost coefficients.” To cope with the uncertainty in the cost coefficients and drive down the data analyst’s cost, we utilize possible negative payments (which penalize individuals with “unacceptably” high valuations of privacy) and e

CLOWN

Bidding Strategies for Fantasy-Sports Auctions,ies for fantasy sports auction drafts, focusing on the design and analysis of simple strategies that achieve good worst-case performance, obtaining a constant fraction of the best value possible, regardless of competing managers’ bids. Our findings may be useful in guiding bidding behavior of fantas

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