Publications associées à Convergence without Convexity: Sampling, Optimization, and Games

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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

Convergence without Convexity: Sampling, Optimization, and Games

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Chattez avec Graph Search

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models

To Convexify or Not? Regression with Clustering Penalties on Graphs

Coordination and Sampling in Distributed Constraint Optimization

Regularized Bundle Methods for Convex and Non-Convex Risks

A survey and comparison of contemporary algorithms for computing the matrix geometric mean

Container Terminal Management

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Tracking Multiple People under Global Appearance Constraints

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A comparison of global optimisation algorithms with standard benchmark functions and real-world applications using EnergyPlus

Tracking Multiple People under Global Appearance Constraints

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Regularized Bundle Methods for Convex and Non-Convex Risks

A survey and comparison of contemporary algorithms for computing the matrix geometric mean

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Welfare-Maximizing Correlated Equilibria with an Application to Wireless Communication

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models

To Convexify or Not? Regression with Clustering Penalties on Graphs