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CPC
2011
219views Education» more  CPC 2011»
13 years 6 months ago
On Percolation and the Bunkbed Conjecture
We study a problem on edge percolation on product graphs G× K2. Here G is any finite graph and K2 consists of two vertices {0, 1} connected by an edge. Every edge in G × K2 is p...
Svante Linusson
CPC
2011
189views Education» more  CPC 2011»
13 years 6 months ago
A Counter-Intuitive Correlation in a Random Tournament
Consider a randomly oriented graph G = (V, E) and let a, s and b be three distinct vertices in V . We study the correlation between the events {a → s} and {s → b}. We show that...
Sven Erick Alm, Svante Linusson
CPC
2011
199views Education» more  CPC 2011»
13 years 6 months ago
Sub-Gaussian Tails for the Number of Triangles in G( n, p)
Let X be the random variable that counts the number of triangles in the binomial random graph G(n, p). We show that for some positive constant c, the probability that X deviates f...
Guy Wolfovitz
CORR
2011
Springer
164views Education» more  CORR 2011»
13 years 6 months ago
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
Zhilin Zhang, Bhaskar D. Rao
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 6 months ago
Machine Learning and the Traveling Repairman
Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet
CORR
2011
Springer
176views Education» more  CORR 2011»
13 years 6 months ago
Inner approximations for polynomial matrix inequalities and robust stability regions
Following a polynomial approach, many robust fixed-order controller design problems can be formulated as optimization problems whose set of feasible solutions is modelled by para...
Didier Henrion, Jean B. Lasserre
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 6 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...