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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 151–160 of 181 papers

TitleStatusHype
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Alternating direction method of multipliers for regularized multiclass support vector machines—0
A Mini-Block Fisher Method for Deep Neural Networks—0
Amortized Proximal Optimization—0
A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees—0
A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization—0
Approximate Newton Methods and Their Local Convergence—0
A scaled gradient projection method for Bayesian learning in dynamical systems—0
A survey of deep learning optimizers -- first and second order methods—0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
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