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FOCS
2005
IEEE
15 years 3 months ago
Mechanism Design via Machine Learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
ICPP
2009
IEEE
15 years 4 months ago
A Strategy-proof Pricing Scheme for Multiple Resource Type Allocations
Abstract—Resource sharing on the Internet is becoming increasingly pervasive. Recently, there is growing interest in distributed systems such as peer-to-peer and grid, with effor...
Yong Meng Teo, Marian Mihailescu
JAIR
2006
101views more  JAIR 2006»
14 years 10 months ago
Resource Allocation Among Agents with MDP-Induced Preferences
Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute acti...
Dmitri A. Dolgov, Edmund H. Durfee
STOC
2012
ACM
221views Algorithms» more  STOC 2012»
13 years 16 days ago
From query complexity to computational complexity
We consider submodular optimization problems, and provide a general way of translating oracle inapproximability results arising from the symmetry gap technique to computational co...
Shahar Dobzinski, Jan Vondrák
SAGT
2009
Springer
118views Game Theory» more  SAGT 2009»
15 years 4 months ago
A Modular Approach to Roberts' Theorem
Roberts’ theorem from 1979 states that the only incentive compatible mechanisms over a full domain and range of at least 3 are weighted variants of the VCG mechanism termed affin...
Shahar Dobzinski, Noam Nisan