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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 31–40 of 181 papers

TitleStatusHype
A Distributed Second-Order Algorithm You Can Trust—0
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training—0
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning—0
Bilinear Parameterization For Differentiable Rank-Regularization—0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
A survey of deep learning optimizers -- first and second order methods—0
Accelerated Training of Federated Learning via Second-Order Methods—0
Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time—0
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