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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 121–130 of 181 papers

TitleStatusHype
Stochastic Subspace Cubic Newton Method—0
Structured second-order methods via natural gradient descent—0
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods—0
Sub-Sampled Newton Methods II: Local Convergence Rates—0
Sub-sampled Newton Methods with Non-uniform Sampling—0
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks—0
The Many Faces of Exponential Weights in Online Learning—0
Unlocking FedNL: Self-Contained Compute-Optimized Implementation—0
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink—0
When Does Preconditioning Help or Hurt Generalization?—0
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