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» Bounds on linear PDEs via semidefinite optimization
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SODA
2010
ACM
216views Algorithms» more  SODA 2010»
15 years 7 months ago
On linear and semidefinite programming relaxations for hypergraph matching
The hypergraph matching problem is to find a largest collection of disjoint hyperedges in a hypergraph. This is a well-studied problem in combinatorial optimization and graph theo...
Yuk Hei Chan, Lap Chi Lau
ICML
2007
IEEE
15 years 10 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
87
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight?
We consider the robust beamforming problem under imperfect channel state information (CSI) subject to SINR constraints in a downlink multiuser MISO system. One popular approach to...
Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu S...
CPAIOR
2006
Springer
15 years 1 months ago
The Power of Semidefinite Programming Relaxations for MAX-SAT
Recently, Linear Programming (LP)-based relaxations have been shown promising in boosting the performance of exact MAX-SAT solvers. We compare Semidefinite Programming (SDP) based ...
Carla P. Gomes, Willem Jan van Hoeve, Lucian Leahu
AAAI
2006
14 years 11 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...