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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
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations—0
When Does Preconditioning Help or Hurt Generalization?—0
A block coordinate descent optimizer for classification problems exploiting convexity—0
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods—0
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training—0
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian OptimizationCode2
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm—0
Asymptotic Analysis of Conditioned Stochastic Gradient DescentCode0
On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNsCode0
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
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