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» Approximate Convex Optimization by Online Game Playing
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CORR
2006
Springer
172views Education» more  CORR 2006»
13 years 5 months ago
Approximate Convex Optimization by Online Game Playing
This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
Elad Hazan
STOC
2007
ACM
146views Algorithms» more  STOC 2007»
14 years 5 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
ECCC
2006
218views more  ECCC 2006»
13 years 4 months ago
Efficient Algorithms for Online Game Playing and Universal Portfolio Management
We introduce a new algorithm and a new analysis technique that is applicable to a variety of online optimization scenarios, including regret minimization for Lipschitz regret func...
Amit Agarwal, Elad Hazan
COLT
2010
Springer
13 years 2 months ago
Convex Games in Banach Spaces
We study the regret of an online learner playing a multi-round game in a Banach space B against an adversary that plays a convex function at each round. We characterize the minima...
Karthik Sridharan, Ambuj Tewari
JMLR
2010
149views more  JMLR 2010»
12 years 11 months ago
Coherent Inference on Optimal Play in Game Trees
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
Philipp Hennig, David H. Stern, Thore Graepel