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To Convexify or Not? Regression with Clustering Penalties on Graphs

Volkan Cevher, Luca Baldassarre, Marwa El Halabi

We consider minimization problems that are compositions of convex functions of a vector

\x \in\reals^N

with submodular set functions of its support (i.e., indices of the non-zero coefficients of

\x

). Such problems are in general difficult for large

N

...

IEEE2013

Fonction convexe

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Tensor optimisation for optical-interferometric imaging

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity

An inexact proximal path-following algorithm for constrained convex minimization

Approximate dynamic programming via sum of squares programming

To Convexify or Not? Regression with Clustering Penalties on Graphs

Convex computation of the region of attraction of polynomial control systems

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

Joint image registration and reconstruction from compressed multi-view measurements

Joint image registration and reconstruction from compressed multi-view measurements

Tensor optimisation for optical-interferometric imaging

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity

To Convexify or Not? Regression with Clustering Penalties on Graphs

Approximate dynamic programming via sum of squares programming

An inexact proximal path-following algorithm for constrained convex minimization

Joint image registration and reconstruction from compressed multi-view measurements

Convex computation of the region of attraction of polynomial control systems

Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

Joint image registration and reconstruction from compressed multi-view measurements