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Proximal Gradient Methods with Adaptive Subspace Sampling
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Malick, JeromeIutzeler, FranckGrishchenko, Dmitry

Many applications in machine learning or signal processing involve nonsmooth optimization problems. This nonsmoothness brings a low-dimensional structure to the optimal solutions. In this paper, we…

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A Distributed Flexible Delay-Tolerant Proximal Gradient Algorithm
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Malick, JeromeMishchenko, KonstantinIutzeler, Franck

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Approximate Joint Diagonalization with Riemannian Optimization on the General…
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Afsari, BijanMalick, JeromeBouchard, FlorentCongedo, Marco

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Sensitivity Analysis for Mirror-Stratifiable Convex Functions
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Malick, JeromeFadili, JalalPeyre, Gabriel

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Projection-Like Retractions On Matrix Manifolds
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Malick, JeromeAbsil, P. A

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Regularization methods for semidefinite programming
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Povh, JanezMalick, JeromeRendl, FranzWiegele, Angelika

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Alternating projections on manifolds
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Lewis, Adrian SMalick, Jerome

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Cut-generating functions and s-free sets
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Cornuejols, GerardConforti, MicheleMalick, JeromeDaniilidis, ArisLemarechal, Claude


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