Publications associées à Pseudoconvex function

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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

Pseudoconvex function

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Cooperative Data Exchange with Weighted Cost based on d-Basis Construction

Stochastic Three-Composite Convex Minimization

Exterior Convexity And Classical Calculus Of Variations

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

To Convexify or Not? Regression with Clustering Penalties on Graphs

Exploiting Local Quasiconvexity for Gradient Estimation in Modifier-Adaptation Schemes

Regularized Bundle Methods for Convex and Non-Convex Risks

Composite convex minimization involving self-concordant-like cost functions

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

To Convexify or Not? Regression with Clustering Penalties on Graphs

Exploiting Local Quasiconvexity for Gradient Estimation in Modifier-Adaptation Schemes

Regularized Bundle Methods for Convex and Non-Convex Risks

Cooperative Data Exchange with Weighted Cost based on d-Basis Construction

Stochastic Three-Composite Convex Minimization

Composite convex minimization involving self-concordant-like cost functions

Exterior Convexity And Classical Calculus Of Variations

H∞ smith predictor design for time-delayed MIMO systems via convex optimization