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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 21–30 of 181 papers

TitleStatusHype
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology—0
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration—0
Online Covariance Matrix Estimation in Sketched Newton MethodsCode0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
Distributed Quasi-Newton Method for Fair and Fast Federated Learning—0
Preconditioners for the Stochastic Training of Neural Fields—0
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning—0
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods—0
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems—0
Don't Be So Positive: Negative Step Sizes in Second-Order Methods—0
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