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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
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
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