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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
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks—0
Kronecker-factored Quasi-Newton Methods for Deep Learning—0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate—0
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method—0
Learning-Augmented Sketches for Hessians—0
LocoProp: Enhancing BackProp via Local Loss Optimization—0
Meta-descent for Online, Continual Prediction—0
Minibatching Offers Improved Generalization Performance for Second Order Optimizers—0
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control—0
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