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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 121–130 of 181 papers

TitleStatusHype
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm—0
Asymptotic Analysis of Conditioned Stochastic Gradient DescentCode0
On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNsCode0
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses—0
Stochastic Subspace Cubic Newton Method—0
DDPNOpt: Differential Dynamic Programming Neural Optimizer—0
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methodsCode0
Curvature-corrected learning dynamics in deep neural networks—0
Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic RatesCode0
Hierarchical model-based policy optimization: from actions to action sequences and back—0
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