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Gradient descent
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31	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
32	Energetic Natural Gradient Descent Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-26 17:39:49
33	Bundle Adjustment and SLAM Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2016-04-12 09:40:24 Mathematical analysis Numerical analysis Analysis Bundle adjustment Cartography Geodesy Photogrammetry Surveying Mathematical optimization Gradient descent Taylor series
34	CS168: The Modern Algorithmic Toolbox Lecture #6: Stochastic Gradient Descent and Regularization Tim Roughgarden & Gregory Valiant∗ April 13, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:44 Statistics Numerical analysis Mathematics Computational statistics Regression analysis Econometrics Convex optimization Estimation theory Stochastic gradient descent Gradient descent Linear regression Mathematical optimization
35	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Nonsymmetric preconditioning for conjugate gradient and steepest descent methods Bouwmeester, H.; Dougherty, A.; Knyazev, A. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-05-18 10:00:44 Numerical analysis Numerical linear algebra LOBPCG Preconditioner Multigrid method Conjugate gradient method Hypre Lis Symmetric successive overrelaxation Iterative method Gradient descent Relaxation
36	JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Mathematical analysis Numerical analysis Mathematical optimization Multivariable calculus Convex analysis Stochastic optimization Convex optimization Stochastic gradient descent Hessian matrix Gradient descent Lagrange multiplier Higher-order singular value decomposition
37	Advances in the Minimization of Finite Sums Mark Schmidt Joint work with Nicolas Le Roux, Francis Bach, Reza Babanezhad and Mohamed Ahmed University of British Columbia Context: Minimizing Finite Sums Add to Reading List Source URL: www.proba.jussieu.fr Language: English Numerical analysis Numerical linear algebra Stochastic optimization Gradient descent Support vector machine Gradient method Operations research Mathematical optimization Stochastic gradient descent Stochastic approximation
38	Projected Natural Actor-Critic Philip S. Thomas, William Dabney, Sridhar Mahadevan, and Stephen Giguere School of Computer Science University of Massachusetts Amherst Amherst, MA 01003 Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-10 12:06:12 Numerical analysis Numerical linear algebra Gradient descent Mathematical optimization Gradient method Reinforcement learning Artificial neural network Subgradient method
39	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
40	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