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Gradient descent
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221	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-03-18 22:06:19 Operations research Convex optimization Gradient descent Subgradient method Perceptron Stochastic gradient descent Gradient method BFGS method Numerical analysis Mathematical optimization Stochastic optimization
222	Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling arXiv:1005.2012v3 [math.OC] 10 Apr[removed]John C. Duchi1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-04-12 10:45:22 Convex analysis Convex optimization Operations research Subgradient method Perceptron Gradient descent Topology Subderivative Convex function Mathematical optimization Mathematical analysis Numerical analysis
223	Algorithms for Optimal Decisions Tutorial 3 Answers Exercise 1 Show that the steepest descent direction − Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2006-11-15 10:45:06
224	Package ‘deepnet’ July 2, 2014 Type Package Title deep learning toolkit in R Version 0.2 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:36:17 Euclidean vector Linear algebra Vector calculus Matrix Gradient descent Mathematics Neural networks Abstract algebra
225	Algorithms for Optimal Decisions Tutorial 4 Answers Exercise 1 Solve the following Q.P. using the Frank–Wolfe method: Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2006-11-15 10:45:06 Applied mathematics Linear programming Gradient descent PROPT Numerical analysis Mathematical optimization Operations research
226	- (2010) Introduction 1 - ALGORITHMS FOR OPTIMAL DECISIONS 1. INTRODUCTION: ì Nonlinear decision problems ì Basic concepts and optimality Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-09-24 09:40:06 Convex analysis Operations research Real analysis Convex function Nonlinear programming Hessian matrix Concave function Gradient descent Linear programming Mathematical analysis Mathematical optimization Mathematics
227	Package ‘gettingtothebottom’ August 2, 2014 Title Getting to the Bottom, A Package for Learning Optimization Methods Description Getting to the Bottom is a companion package for the ``Getting to the Bottom'' optimiza Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-02 17:50:43 Regression analysis Least squares Gradient descent Gradient Function Linear regression Mathematical optimization Levenberg–Marquardt algorithm Mathematics Numerical analysis Mathematical analysis
228	arXiv:1105.4701v3 [cs.LG] 8 Sep[removed]Online Learning, Stability, and Stochastic Gradient Descent September 9, 2011 Tomaso Poggio, Stephen Voinea, Lorenzo Rosasco Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-09-15 10:11:06 Stability Vector space Weak convergence Algebra Mathematics Learning
229	arXiv:1105.4701v3 [cs.LG] 8 Sep[removed]Online Learning, Stability, and Stochastic Gradient Descent September 9, 2011 Tomaso Poggio, Stephen Voinea, Lorenzo Rosasco Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-09-15 10:11:06 Stability Vector space Weak convergence Algebra Mathematics Learning
230	Gradient Descent with Sparsification: An iterative algorithm for sparse recovery with restricted isometry property Rahul Garg [removed] Rohit Khandekar Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:39 Applied mathematics Mathematical optimization Compressed sensing Information theory Linear algebra Regression analysis Matching pursuit Function Linear programming Mathematics Statistics Signal processing

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