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preconditioning matrix

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learning rate (2) neural network optimization (2) stochastic gradient descent (2) matrix-valued kernel (1) preconditioned optimization (1) hessian rank (1) adaptive optimizer (1) neural network optimizer (1) proximal point method (1) stein variational gradient descent (1)

Papers

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix NeurIPS 2023 Amortized Proximal Optimization NeurIPS 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022 Stein Variational Gradient Descent With Matrix-Valued Kernels NeurIPS 2019