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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 61–70 of 181 papers

TitleStatusHype
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information—0
Approximate Newton Methods and Their Local Convergence—0
Adaptive Second Order Coresets for Data-efficient Machine Learning—0
A comparison of second-order methods for deep convolutional neural networks—0
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods—0
A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization—0
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee—0
A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees—0
Adaptive Optimization Algorithms for Machine Learning—0
Faster Differentially Private Convex Optimization via Second-Order Methods—0
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