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Stochastic gradient descent

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Stochastic gradient descent

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Diffusion LMS Over Multitask Networks

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Preconditioned Spectral Descent for Deep Learning

Fixed-structure LPV Discrete-time Controller Design with Induced l2-Norm and H2 Performance

Stability and Performance Limits of Adaptive Primal-Dual Networks

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

Composite Self-Concordant Minimization

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Learning Separable Filters

Preconditioned Spectral Descent for Deep Learning

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Fixed-structure LPV Discrete-time Controller Design with Induced l2-Norm and H2 Performance

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

Stability and Performance Limits of Adaptive Primal-Dual Networks

Diffusion LMS Over Multitask Networks

Composite Self-Concordant Minimization

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Learning Separable Filters