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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 111–120 of 181 papers

TitleStatusHype
Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time—0
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent—0
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink—0
Second-order Neural Network Training Using Complex-step Directional Derivative—0
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization—0
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations—0
When Does Preconditioning Help or Hurt Generalization?—0
A block coordinate descent optimizer for classification problems exploiting convexity—0
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods—0
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training—0
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