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» Parallelizing a Convergent Approximate Inference Method
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ICS
1989
Tsinghua U.
13 years 8 months ago
Convergence rate and termination of asynchronous iterative algorithms
We consider iterative algorithms of the form z := f(z), executed by a parallel or distributed computing system. We focus on asynchronous implementations whereby each processor ite...
Dimitri P. Bertsekas, John N. Tsitsiklis
SIAMCO
2010
128views more  SIAMCO 2010»
13 years 2 months ago
A Parallel Splitting Method for Coupled Monotone Inclusions
A parallel splitting method is proposed for solving systems of coupled monotone inclusions in Hilbert spaces, and its convergence is established under the assumption that solutions...
Hedy Attouch, Luis M. Briceño-Arias, Patric...
AAMAS
2007
Springer
13 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
FOCM
2010
108views more  FOCM 2010»
13 years 3 months ago
Parallelization Method for a Continuous Property
Abstract. An automated method of general purpose is introduced for computing a rigorous estimate of a bounded region in Rn whose points satisfy a given property. The method is base...
Pawel Pilarczyk
NIPS
2007
13 years 6 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...