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Found 9 papers, 1 papers with code
GraphLab: A New Framework For Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging.
Inference with Multivariate Heavy-Tails in Linear Models
Using stable distributions, a heavy-tailed family of distributions which is a generalization of Cauchy, L\'evy and Gaussian distributions, we show for the first time, how to compute both exact and approximate inference in such a linear multivariate graphical model.
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging.
Fault Identification via Non-parametric Belief Propagation
We consider the problem of identifying a pattern of faults from a set of noisy linear measurements.
Information Theory Information Theory
Distributed Sensor Selection using a Truncated Newton Method
We propose a new distributed algorithm for computing a truncated Newton method, where the main diagonal of the Hessian is computed using belief propagation.
Information Theory Information Theory
Fixing Convergence of Gaussian Belief Propagation
It is known that when GaBP converges it converges to the correct MAP estimate of the Gaussian random vector and simple sufficient conditions for its convergence have been established.
A Low Density Lattice Decoder via Non-Parametric Belief Propagation
We show that the LDLC decoder is an instance of non-parametric belief propagation and further connect it to the Gaussian belief propagation algorithm.
Information Theory Information Theory
Distributed Large Scale Network Utility Maximization
Using an empirical evaluation we show that our new method outperforms previous approaches, including the truncated Newton method and dual-decomposition methods.
Information Theory Distributed, Parallel, and Cluster Computing Information Theory Optimization and Control
Polynomial Linear Programming with Gaussian Belief Propagation
Karmarkar's celebrated algorithm is known to be an instance of the log-barrier method using the Newton iteration.
Information Theory Information Theory E.5
