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APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
15 years 4 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
JMLR
2006
91views more  JMLR 2006»
15 years 3 months ago
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
We describe polynomial
Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Ste...
FOCS
2005
IEEE
15 years 8 months ago
Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring
At the core of the seminal Graph Minor Theory of Robertson and Seymour is a powerful structural theorem capturing the structure of graphs excluding a fixed minor. This result is ...
Erik D. Demaine, Mohammad Taghi Hajiaghayi, Ken-ic...
ATAL
2010
Springer
15 years 4 months ago
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Distributed Constraint Optimization (DCOP) is a popular framework for cooperative multi-agent decision making. DCOP is NPhard, so an important line of work focuses on developing f...
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, ...
SIAMJO
2008
72views more  SIAMJO 2008»
15 years 2 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed