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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 51–60 of 181 papers

TitleStatusHype
Adaptive Optimization Algorithms for Machine Learning—0
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional SubspacesCode0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold—0
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods—0
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles—0
Error Feedback Can Accurately Compress PreconditionersCode0
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