SOTAVerified

Second-order methods

Use second-order statistics to process data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 181 papers

TitleStatusHype
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationCode1
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
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex OptimizationCode1
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
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow—0
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.