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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 71–80 of 181 papers

TitleStatusHype
Differentially Private Image Classification from FeaturesCode0
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and SparsityCode0
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods—0
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee—0
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization—0
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control—0
Adaptive Second Order Coresets for Data-efficient Machine Learning—0
SP2: A Second Order Stochastic Polyak Method—0
A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees—0
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large BatchesCode0
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