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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 26–50 of 181 papers

TitleStatusHype
Preconditioners for the Stochastic Training of Neural Fields—0
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning—0
A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods—0
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems—0
Don't Be So Positive: Negative Step Sizes in Second-Order Methods—0
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor GeneralizationCode0
Improving Stochastic Cubic Newton with Momentum—0
Second-Order Min-Max Optimization with Lazy Hessians—0
Unlocking FedNL: Self-Contained Compute-Optimized Implementation—0
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility—0
FLeNS: Federated Learning with Enhanced Nesterov-Newton SketchCode0
Alternating Iteratively Reweighted _1 and Subspace Newton Algorithms for Nonconvex Sparse OptimizationCode0
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm—0
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization—0
Stochastic Newton Proximal Extragradient Method—0
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks—0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
SGD with Partial Hessian for Deep Neural Networks OptimizationCode0
Second Order Methods for Bandit Optimization and Control—0
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks—0
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks—0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate—0
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order DerivativesCode0
A Computationally Efficient Sparsified Online Newton MethodCode0
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