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Gradient descent
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#	Item
161	mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jie Liu Lehigh University Bethlehem, PA 18015 Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:41 Stochastic optimization Numerical linear algebra Stochastic gradient descent Gradient method Gradient descent Stochastic approximation Mathematical optimization Random coordinate descent Coordinate descent Numerical analysis Mathematical analysis Mathematics
162	S2CD: Semi-Stochastic Coordinate Descent Jakub Koneˇcn´y University of Edinburgh United Kingdom, EH9 3FD [removed] Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:33 Stochastic optimization Stochastic gradient descent Stochastic approximation Coordinate descent Gradient descent Mathematical optimization Gradient method Gradient Numerical analysis Mathematical analysis Mathematics
163	Coordinate descent converges faster with the Gauss-Southwell rule than random selection Michael Friedlander Department of Mathematics University of California, Davis Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:45 Convex analysis Differential calculus Mathematical optimization Regression analysis Lipschitz continuity Gradient Coordinate descent Convex function Derivative Mathematical analysis Mathematics Numerical analysis
164	STAT 538 Homework 6 Out February 26, 2015 Due Tuesday, March 5, 2015 c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-01 17:22:29 Statistical classification Operations research Machine learning Convex optimization Support vector machines Stochastic gradient descent Mathematical optimization Interior point method Duality Algebra Mathematics Statistics
165	Journal of Machine Learning Research[removed]–∞ Submitted 0/00; Published 0/00 A Geometric View of Non-Linear On-Line Stochastic Gradient Descent Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-07-31 04:02:53 Differential topology Differential geometry Vector calculus Riemannian geometry Riemannian manifold Exponential map Differentiable manifold Vector field Tangent bundle Algebra Mathematics Mathematical analysis
166	Journal of Machine Learning Research[removed]–355 Submitted 8/00; Published 9/01 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2004-08-31 14:06:39 Stochastic gradient descent Statistics Differentiable manifold Riemannian manifold Supervised learning Gradient Mathematical analysis Mathematics Stochastic optimization
167	Journal of Machine Learning Research[removed]N -N + 45 Submitted 8/00; Published Real Soon Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms∗ Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2001-08-30 21:18:58 Stochastic gradient descent Statistics Differentiable manifold Riemannian manifold Supervised learning Gradient Mathematical analysis Mathematics Stochastic optimization
168	Generic Methods for Optimization-Based Modeling Justin Domke Rochester Institute of Technology Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-05-24 15:13:47 Image processing Spatial data analysis Mathematical optimization Coordinate descent Limited-memory BFGS BFGS method Gradient descent Conditional random field Conjugate gradient method Numerical analysis Machine learning Image denoising
169	Riemannian Structure of Some New Gradient Descent Learning Algorithms Robert E. Mahony MAHONY @ IEEE . ORG Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria, 3800, Australia Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 07:17:37 Vector calculus Stochastic optimization Computational statistics Riemannian manifold Gradient Vector Differentiable manifold Exponential map Stochastic gradient descent Mathematics Mathematical analysis Calculus
170	Hasty Congregational Gradient Descent Kim L. Blackmore Robert C. Williamson Communications Division Department of Engineering DSTO Australian National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-26 22:36:32 Statistics Least squares Mathematics Applied mathematics Regression analysis Mathematical optimization Operations research Backpropagation

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