![Estimation theory / Numerical linear algebra / M-estimators / Stochastic optimization / Least squares / Conjugate gradient method / Nonlinear conjugate gradient method / Gradient descent / Gradient method / Hessian matrix / Fisher information / BroydenFletcherGoldfarbShanno algorithm Estimation theory / Numerical linear algebra / M-estimators / Stochastic optimization / Least squares / Conjugate gradient method / Nonlinear conjugate gradient method / Gradient descent / Gradient method / Hessian matrix / Fisher information / BroydenFletcherGoldfarbShanno algorithm](https://www.pdfsearch.io/img/0672d02eb39ea6df0f23d24d4f34e46c.jpg) Date: 2014-02-18 01:51:44Estimation theory Numerical linear algebra M-estimators Stochastic optimization Least squares Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix Fisher information BroydenFletcherGoldfarbShanno algorithm | | Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading ListSource URL: arxiv.orgDownload Document from Source Website File Size: 669,56 KBShare Document on Facebook
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