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MP
2002
93views more  MP 2002»
13 years 5 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 1 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 5 months ago
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Abstract--We consider the problem of recovering a lowrank matrix when some of its entries, whose locations are not known a priori, are corrupted by errors of arbitrarily large magn...
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel ...
ICML
2006
IEEE
14 years 6 months ago
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
Pradeep D. Ravikumar, John D. Lafferty
CDC
2008
IEEE
172views Control Systems» more  CDC 2008»
13 years 7 months ago
Convex relaxation approach to the identification of the Wiener-Hammerstein model
In this paper, an input/output system identification technique for the Wiener-Hammerstein model and its feedback extension is proposed. In the proposed framework, the identificatio...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel