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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 31–40 of 181 papers

TitleStatusHype
Second Order Methods for Bandit Optimization and Control—0
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks—0
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order PerspectiveCode1
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks—0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate—0
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFACCode1
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order DerivativesCode0
Adaptive Optimization Algorithms for Machine Learning—0
A Computationally Efficient Sparsified Online Newton MethodCode0
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional SubspacesCode0
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