conftrace_

gauss-newton method

7 papers

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Co-occurring keywords · papers mentioning both

natural gradient (2) global convergence (2) matrix sensing (1) implicit bia (1) approximate curvature (1) overparameterized model (1) low-rank matrix sensing (1) simultaneous localization and mapping (1) local minima (1) local minimum (1)

Papers

Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NeurIPS 2024 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 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