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» Logarithmic Regret Algorithms for Online Convex Optimization
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STOC
2007
ACM
146views Algorithms» more  STOC 2007»
16 years 2 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
107
Voted
SWAT
2010
Springer
279views Algorithms» more  SWAT 2010»
15 years 6 months ago
Online Function Tracking with Generalized Penalties
We attend to the classic setting where an observer needs to inform a tracker about an arbitrary time varying function f : N0 → Z. This is an optimization problem, where both wron...
Marcin Bienkowski, Stefan Schmid
133
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APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
15 years 3 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
SIAMJO
2000
101views more  SIAMJO 2000»
15 years 1 months ago
An Efficient Algorithm for Minimizing a Sum of p-Norms
We study the problem of minimizing a sum of p-norms where p is a fixed real number in the interval [1, ]. Several practical algorithms have been proposed to solve this problem. How...
Guoliang Xue, Yinyu Ye
SAGT
2010
Springer
167views Game Theory» more  SAGT 2010»
15 years 6 days ago
A Perfect Price Discrimination Market Model with Production, and a (Rational) Convex Program for It
Recent results showing PPAD-completeness of the problem of computing an equilibrium for Fisher’s market model under additively separable, piecewise-linear, concave utilities (pl...
Gagan Goel, Vijay V. Vazirani