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Performance limits of stochastic sub-gradient learning, Part II: Multi-agent case

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The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Martin Kurt Storath

We investigate the nonsmooth and nonconvex

L ^{ 1 }

-Potts functional in discrete and continuous time. We show Γ-convergence of discrete

L ^{ 1 }

-Potts functionals toward their continuous counterpart and obtain a convergence statement for the corr ...

SIAM2015

Performance limits of stochastic sub-gradient learning, Part II: Multi-agent case

Graph Chatbot

Chattez avec Graph Search

Performance limits of single-agent and multi-agent sub-gradient stochastic learning

Adaptive data augmentation for image classification

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Stability and Performance Limits of Adaptive Primal-Dual Networks

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Path-following gradient-based decomposition algorithms for separable convex optimization

Subspace Methods For Computing The Pseudospectral Abscissa And The Stability Radius

Diffusion LMS for multitask problems with overlapping hypothesis subspaces

Towards Predicting the Runtime of Iterative Analytics with PREDIcT

PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics

On the influence of momentum acceleration on online learning

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Adaptive data augmentation for image classification

Stability and Performance Limits of Adaptive Primal-Dual Networks

Path-following gradient-based decomposition algorithms for separable convex optimization

Performance limits of single-agent and multi-agent sub-gradient stochastic learning

Subspace Methods For Computing The Pseudospectral Abscissa And The Stability Radius

Diffusion LMS for multitask problems with overlapping hypothesis subspaces

Towards Predicting the Runtime of Iterative Analytics with PREDIcT

PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics