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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 71–80 of 181 papers

TitleStatusHype
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching—0
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization—0
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility—0
Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix—0
A block coordinate descent optimizer for classification problems exploiting convexity—0
Block-diagonal Hessian-free Optimization for Training Neural Networks—0
A Distributed Second-Order Algorithm You Can Trust—0
Biologically inspired protection of deep networks from adversarial attacks—0
Bilinear Parameterization for Non-Separable Singular Value Penalties—0
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training—0
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