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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 111–120 of 181 papers

TitleStatusHype
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning—0
GPU Accelerated Sub-Sampled Newton's Method—0
Gradient-Boosted Based Structured and Unstructured Learning—0
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems—0
Hierarchical model-based policy optimization: from actions to action sequences and back—0
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods—0
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow—0
Improving Stochastic Cubic Newton with Momentum—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
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