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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 11–20 of 181 papers

TitleStatusHype
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated LearningCode1
Second-Order Neural ODE OptimizerCode1
M-FAC: Efficient Matrix-Free Approximations of Second-Order InformationCode1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationCode1
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex OptimizationCode1
Second-Order Stochastic Optimization for Machine Learning in Linear TimeCode1
NysAct: A Scalable Preconditioned Gradient Descent using Nystrom ApproximationCode0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Accelerated Training of Federated Learning via Second-Order Methods—0
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