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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 41–50 of 181 papers

TitleStatusHype
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning—0
Bilinear Parameterization For Differentiable Rank-Regularization—0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
Biologically inspired protection of deep networks from adversarial attacks—0
Block-diagonal Hessian-free Optimization for Training Neural Networks—0
A survey of deep learning optimizers -- first and second order methods—0
Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time—0
A scaled gradient projection method for Bayesian learning in dynamical systems—0
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods—0
Approximate Newton Methods and Their Local Convergence—0
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