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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 161–170 of 181 papers

TitleStatusHype
NysAct: A Scalable Preconditioned Gradient Descent using Nystrom ApproximationCode0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Improving SGD convergence by online linear regression of gradients in multiple statistically relevant directionsCode0
Online Covariance Matrix Estimation in Sketched Newton MethodsCode0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
ISAAC Newton: Input-based Approximate Curvature for Newton's MethodCode0
Tensor Normal Training for Deep Learning ModelsCode0
Stochastic Trust Region Inexact Newton Method for Large-scale Machine LearningCode0
On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNsCode0
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large BatchesCode0
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