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Stochastic gradient descent
Results: 144

#	Item
21	Natural Gradient Works Eciently in Learning Shun-ichi Amari RIKEN Frontier Research Program Wako-shi, Hirosawa 2-1, Saitama, JAPAN fax: + Add to Reading List Source URL: www.maths.tcd.ie Language: English - Date: 2009-10-06 06:49:39 Mathematical analysis Mathematics Algebra Differential geometry Riemannian geometry Computational statistics Category theory Information geometry Information theory Normal Logarithm Stochastic gradient descent
22	arXiv:submitcs.LG] 22 MayEfficient Elastic Net Regularization for Sparse Linear Models Zachary C. Lipton Add to Reading List Source URL: zacklipton.com Language: English - Date: 2015-05-21 21:27:59 Statistics Regression analysis Convex optimization Computational statistics Elastic net regularization Stochastic gradient descent Lasso
23	Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science Add to Reading List Source URL: sstich.ch Language: English - Date: 2011-09-05 06:18:42 Evolutionary algorithms Mathematical optimization Operations research Stochastic optimization CMA-ES Convex optimization Global optimization Gradient descent Evolution strategy Gaussian adaptation Derivative-free optimization Gradient method
24	Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent Wei Xu Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-12-22 22:14:38 Econometrics Estimation theory Statistical theory M-estimators Regression analysis Loss function Stochastic gradient descent Linear regression
25	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function
26	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
27	Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics Jinliang Wei Wei Dai Aurick Qiao Qirong Ho? Henggang Cui Gregory R. Ganger Phillip B. Gibbons† Garth A. Gibson Eric P. Xing Carnegie Mell Add to Reading List Source URL: www.pdl.cmu.edu Language: English - Date: 2016-03-07 13:00:52 Parallel computing Stochastic optimization M-estimators Convex optimization Stochastic gradient descent Consistency model Cache Parameter ML XC Bulk synchronous parallel
28	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 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
29	FireCaffe: near-linear acceleration of deep neural network training on compute clusters Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer DeepScale∗ and UC Berkeley arXiv:1511.00175v2 [cs.CV] 8 Jan Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-10 20:23:29 Graphics hardware GPGPU Parallel computing Computational neuroscience Artificial neural networks Convolutional neural network Graphics processing unit Speech recognition GPU cluster CUDA Kepler Stochastic gradient descent
30	Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-26 20:01:45 M-estimators Computational statistics Computational neuroscience Estimation theory Stochastic optimization Stochastic gradient descent Deep learning Artificial neural network Convolutional neural network Mathematical optimization Loss function Feature learning

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