SOTAVerified

Second-order methods

Use second-order statistics to process data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 181 papers

TitleStatusHype
Sub-sampled Newton Methods with Non-uniform Sampling—0
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks—0
The Many Faces of Exponential Weights in Online Learning—0
Unlocking FedNL: Self-Contained Compute-Optimized Implementation—0
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink—0
Faster Differentially Private Convex Optimization via Second-Order Methods—0
FedNL: Making Newton-Type Methods Applicable to Federated Learning—0
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration—0
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm—0
First and Second Order Methods for Online Convolutional Dictionary Learning—0
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning—0
GPU Accelerated Sub-Sampled Newton's Method—0
Gradient-Boosted Based Structured and Unstructured Learning—0
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems—0
Hierarchical model-based policy optimization: from actions to action sequences and back—0
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods—0
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow—0
Improving Stochastic Cubic Newton with Momentum—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks—0
Kronecker-factored Quasi-Newton Methods for Deep Learning—0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate—0
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method—0
Show:102550
← PrevPage 5 of 8Next →

No leaderboard results yet.