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gauss-newton method
gauss-newton method
7 papers
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natural gradient
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global convergence
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matrix sensing
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implicit bia
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approximate curvature
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low-rank matrix sensing
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simultaneous localization and mapping
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over-parameterized model
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local minima
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local minimum
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Papers
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
NIPS 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NIPS 2024
Rethinking Gauss-Newton for learning over-parameterized models
NIPS 2023
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
ICML 2022
Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map
RSS 2022
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
ICCV 2021
Approximate Newton Methods for Policy Search in Markov Decision Processes
JMLR 2016
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