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» Approximate Convex Optimization by Online Game Playing
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ICML
2003
IEEE
14 years 6 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
CORR
2004
Springer
103views Education» more  CORR 2004»
13 years 5 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
13 years 10 days ago
A projection framework for near-potential games
Potential games are a special class of games that admit tractable static and dynamic analysis. Intuitively, games that are "close" to a potential game should enjoy somewh...
Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parril...
CROSSROADS
2007
113views more  CROSSROADS 2007»
13 years 5 months ago
On the complexity of Katamari Damacy
We analyze the complexity of the popular PlayStation 2 game, Katamari Damacy. In particular, we prove that playing Katamari Damacy optimally is NP-hard and that it cannot be appro...
Gregory M. Zaverucha
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
14 years 2 days ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...