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Stochastic gradient descent
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#	Item
81	engineering pipelines for learning at scale Benjamin Recht University of California, Berkeley + Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2015-02-24 16:30:13 Stochastic gradient descent Pipeline Mathematical optimization Regression analysis Statistics Statistical classification Support vector machine
82	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
83	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
84	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
85	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
86	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
87	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
88	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
89	Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-03-26 17:45:20 Econometrics Perceptron Backpropagation Support vector machine Supervised learning Stochastic gradient descent Loss function Regression analysis Multilayer perceptron Statistics Machine learning Neural networks
90	Online Learning with Kernels Jyrki Kivinen Alex J. Smola Robert C. Williamson Research School of Information Sciences and Engineering Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 08:39:23 Statistical theory Computational statistics Neural networks Computational neuroscience Support vector machine Stochastic gradient descent Perceptron Loss function Robust statistics Statistics Machine learning Econometrics

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