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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 81–90 of 181 papers

TitleStatusHype
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated LearningCode1
Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink—0
SCORE: Approximating Curvature Information under Self-Concordant Regularization—0
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
Second-Order Neural ODE OptimizerCode1
Nonlinear matrix recovery using optimization on the Grassmann manifoldCode0
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