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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 81–90 of 181 papers

TitleStatusHype
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training—0
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow—0
Bilinear Parameterization For Differentiable Rank-Regularization—0
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods—0
Hierarchical model-based policy optimization: from actions to action sequences and back—0
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning—0
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Gradient-Boosted Based Structured and Unstructured Learning—0
GPU Accelerated Sub-Sampled Newton's Method—0
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