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Conservative-Bayesian Mechanism Design 

Azar, Pablo; Chen, Jing; Micali, Silvio (2010-12-20)
Classical Bayesian mechanism design is "centralized," that is, the designer is assumed to know the distribution D from which the players' type profile has been drawn. We instead investigate a very "decentralized" Bayesian ...
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Mechanism Design With Approximate Player Types 

Chiesa, Alessandro; Micali, Silvio; Zhu, Zeyuan Allen (2011-02-16)
We investigate mechanism design when the players do not exactly know their types, but have instead only partial information about them.
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Optimal Parametric Auctions 

Azar, Pablo; Micali, Silvio (2012-05-08)
We study the problem of profit maximization in auctions of one good where the buyers' valuations are drawn from independent distributions. When these distributions are known to the seller, Myerson's optimal auction is a ...
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Multi-Unit Auction Revenue with Possibilistic Beliefs 

Micali, Silvio; Vlachos, Georgios (2017-06-05)
The revenue of traditional auction mechanisms is benchmarked solely against the players' own valuations, despite the fact that they may also have valuable beliefs about each other's valuations. Not much is known about ...
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Optimal and Player-Replaceable Consensus with an Honest Majority 

Micali, Silvio; Vaikuntanathan, Vinod (2017-03-31)
We construct a Byzantine Agreement protocol that tolerates t < n/2 corruptions, is very efficient in terms of the number of rounds and the number of bits of communication, and satisfies a strong notion of robustness called ...
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Bridging Utility Maximization and Regret Minimization 

Chiesa, Alessandro; Micali, Silvio; Zhu, Zeyuan Allen (2013-12-03)
We relate the strategies obtained by (1) utility maximizers who use regret to refine their set of undominated strategies, and (2) regret minimizers who use weak domination to refine their sets of regret-minimizing strategies.
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A Social-Welfare Optimal Probabilistic Mechanism for Knightian Single-Good Auctions 

Chiesa, Alessandro; Micali, Silvio; Zhu, Zeyuan Allen (2012-09-07)
We provide an optimal probabilistic mechanism for maximizing social welfare in single-good auctions when each player does not know his true valuation for the good, but only a set of valuations that is guaranteed to include ...
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Conservative Rationalizability and The Second-Knowledge Mechanism 

Chen, Jing; Micali, Silvio (2010-12-20)
In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. ...
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Rational Robustness for Mechanism Design 

Micali, Silvio; Chen, Jing (2009-11-10)
The currently prevailing equilibrium-based approach to mechanism design suffers from a plurality of fundamental problems, and new conceptual frameworks are needed to solve or sufficiently alleviate them. In this paper, we ...
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Resilient Knowledge-Based Mechanisms For Truly Combinatorial Auctions (And Implementation in Surviving Strategies) 

Micali, Silvio; Chen, Jing (2008-10-08)
We put forward a new mechanism achieving a high benchmark for (both revenue and) the sum of revenue and efficiency in truly combinatorial auctions. Notably, our mechanism guarantees its performance (1) in a very adversarial ...
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Micali, Silvio (34)
Chen, Jing (12)Chen, Jing (5)Chiesa, Alessandro (4)Zhu, Zeyuan Allen (4)Azar, Pablo (3)Izmalkov, Sergei (3)Lepinski, Matt (3)Pass, Rafael (3)Valiant, Paul (3)... View MoreSubjectAuctions (3)Resilient mechanism design (3)Knowledge-Based Benchmarks (2)Mechanism Design (2)Resilient Mechanism Design (2)Social Welfare (2)Aggregated Knowledge-Based Benchmarks (1)Aggregated Player-Knowledge Benchmarks (1)Byzantine Agreement (1)Collusion (1)... View MoreDate Issued2010 - 2017 (16)2005 - 2009 (17)Has File(s)Yes (34)

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