Sciweavers

337 search results - page 45 / 68
» Semidefinite Programming Based Approximation Algorithms
Sort
View
JMLR
2012
11 years 10 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
NIPS
2008
13 years 9 months ago
Clustering via LP-based Stabilities
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
CAV
2003
Springer
188views Hardware» more  CAV 2003»
13 years 11 months ago
Thread-Modular Abstraction Refinement
odular Abstraction Refinement Thomas A. Henzinger1 , Ranjit Jhala1 , Rupak Majumdar1 , and Shaz Qadeer2 1 University of California, Berkeley 2 Microsoft Research, Redmond Abstract....
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
FOCS
2008
IEEE
14 years 2 months ago
Unique Games with Entangled Provers are Easy
We consider one-round games between a classical verifier and two provers who share entanglement. We show that when the constraints enforced by the verifier are ‘unique’ cons...
Julia Kempe, Oded Regev, Ben Toner
NIPS
2004
13 years 9 months ago
A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...
Daniela Pucci de Farias, Benjamin Van Roy