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» Markov Approximation for Combinatorial Network Optimization
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INFOCOM
2010
IEEE
13 years 3 months ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...
UAI
2001
13 years 6 months ago
Maximum Likelihood Bounded Tree-Width Markov Networks
We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatori...
Nathan Srebro
INFOCOM
2012
IEEE
11 years 7 months ago
Reverse-engineering BitTorrent: A Markov approximation perspective
Abstract—BitTorrent has been the most popular P2P (Peer-toPeer) paradigm during recent years. Built upon great intuition, the piece-selection and neighbor-selection modules roote...
Ziyu Shao, Hao Zhang, Minghua Chen, Kannan Ramchan...
CPAIOR
2008
Springer
13 years 6 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck
FSTTCS
2009
Springer
13 years 11 months ago
Iterative Methods in Combinatorial Optimization
We describe a simple iterative method for proving a variety of results in combinatorial optimization. It is inspired by Jain’s iterative rounding method (FOCS 1998) for designing...
R. Ravi