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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 101–110 of 181 papers

TitleStatusHype
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
Faster Differentially Private Convex Optimization via Second-Order Methods—0
FedNL: Making Newton-Type Methods Applicable to Federated Learning—0
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration—0
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm—0
First and Second Order Methods for Online Convolutional Dictionary Learning—0
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