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matrix square root

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neural network optimization (2) gradient smoothness (1) covariance pooling (1) sliding window estimator (1) differentiable computation (1) matrix taylor polynomial (1) matrix pade approximant (1) global covariance pooling (1) bundle adjustment (1) krylov subspace method (1)

Papers

Fast Differentiable Matrix Square Root ICLR 2022 Square Root Marginalization for Sliding-Window Bundle Adjustment ICCV 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021 Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization NeurIPS 2020 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot AISTATS 2017