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FOCS
2005
IEEE
14 years 1 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...
CP
2006
Springer
13 years 11 months ago
Mini-bucket Elimination with Bucket Propagation
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
Emma Rollon, Javier Larrosa
SODA
2012
ACM
200views Algorithms» more  SODA 2012»
11 years 9 months ago
Optimal crowdsourcing contests
We study the design and approximation of optimal crowdsourcing contests. Crowdsourcing contests can be modeled as all-pay auctions because entrants must exert effort up-front to e...
Shuchi Chawla, Jason D. Hartline, Balasubramanian ...
ATAL
2010
Springer
13 years 8 months ago
Honor among thieves: collusion in multi-unit auctions
We consider collusion in multi-unit auctions where the allocation and payments are determined using the VCG mechanism. We show how collusion can increase the utility of the collud...
Yoram Bachrach
IRREGULAR
1995
Springer
13 years 11 months ago
Parallel Search for Combinatorial Optimization: Genetic Algorithms, Simulated Annealing, Tabu Search and GRASP
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...