Sciweavers

1480 search results - page 151 / 296
» Distributed algorithms for weighted problems in sparse graph...
Sort
View
113
Voted
IPPS
2006
IEEE
15 years 6 months ago
Effecting parallel graph eigensolvers through library composition
— Many interesting problems in graph theory can be reduced to solving an eigenproblem of the adjacency matrix or Laplacian of a graph. Given the availability of high-quality line...
A. Breuer, Peter Gottschling, Douglas Gregor, Andr...
127
Voted
JACM
2011
152views more  JACM 2011»
14 years 3 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
SRDS
2010
IEEE
14 years 10 months ago
Shedding Light on Enterprise Network Failures Using Spotlight
Abstract--Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm...
Dipu John, Pawan Prakash, Ramana Rao Kompella, Ran...
106
Voted
APPROX
2009
Springer
125views Algorithms» more  APPROX 2009»
15 years 7 months ago
Minimizing Average Shortest Path Distances via Shortcut Edge Addition
We consider adding k shortcut edges (i.e. edges of small fixed length δ ≥ 0) to a graph so as to minimize the weighted average shortest path distance over all pairs of vertices...
Adam Meyerson, Brian Tagiku
124
Voted
NIPS
2008
15 years 2 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake