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Second-order methods

Use second-order statistics to process data.

Papers

Showing 131140 of 181 papers

TitleStatusHype
Fast and Furious Convergence: Stochastic Second Order Methods under InterpolationCode0
EXACT ANALYSIS OF CURVATURE CORRECTED LEARNING DYNAMICS IN DEEP LINEAR NETWORKS0
Quasi-Newton Optimization Methods For Deep Learning Applications0
Practical Newton-Type Distributed Learning using Gradient Based Approximations0
Meta-descent for Online, Continual Prediction0
SGD momentum optimizer with step estimation by online parabola modelCode0
Limitations of the Empirical Fisher Approximation for Natural Gradient DescentCode0
Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems0
LIBS2ML: A Library for Scalable Second Order Machine Learning AlgorithmsCode0
Improving SGD convergence by online linear regression of gradients in multiple statistically relevant directionsCode0
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