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» On Bounded Queries and Approximation
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TCS
2011
15 years 1 months ago
Optimizing n-variate (n+k)-nomials for small k
We give a high precision polynomial-time approximation scheme for the supremum of any honest n-variate (n + 2)-nomial with a constant term, allowing real exponents as well as real...
Philippe P. Pébay, J. Maurice Rojas, David ...
JMLR
2010
149views more  JMLR 2010»
15 years 1 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
TIT
2010
112views Education» more  TIT 2010»
15 years 1 months ago
Asymmetric multilevel diversity coding and asymmetric Gaussian multiple descriptions
We consider the asymmetric multilevel diversity (A-MLD) coding problem, where a set of 2 K 1 information sources, ordered in a decreasing level of importance, is encoded into K me...
Soheil Mohajer, Chao Tian, Suhas N. Diggavi
CORR
2011
Springer
202views Education» more  CORR 2011»
15 years 1 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
WIOPT
2011
IEEE
14 years 10 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely