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» Towards Optimal Bayesian Algorithmic Mechanism Design
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FOCS
2009
IEEE
14 years 2 months ago
On the Power of Randomization in Algorithmic Mechanism Design
In many settings the power of truthful mechanisms is severely bounded. In this paper we use randomization to overcome this problem. In particular, we construct an FPTAS for multi-...
Shahar Dobzinski, Shaddin Dughmi
JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
SIGECOM
2006
ACM
142views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Computing the optimal strategy to commit to
In multiagent systems, strategic settings are often analyzed under the assumption that the players choose their strategies simultaneously. However, this model is not always realis...
Vincent Conitzer, Tuomas Sandholm
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 9 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 1 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn