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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 91–100 of 181 papers

TitleStatusHype
Newton methods based convolution neural networks using parallel processing—0
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning—0
Provable Regret Bounds for Deep Online Learning and Control—0
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
SLIM-QN: A Stochastic, Light, Momentumized Quasi-Newton Optimizer for Deep Neural Networks—0
Nonlinear matrix recovery using optimization on the Grassmann manifoldCode0
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information—0
Structured second-order methods via natural gradient descent—0
Bilinear Parameterization for Non-Separable Singular Value Penalties—0
LocoProp: Enhancing BackProp via Local Loss Optimization—0
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