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Subgradient method
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#	Item
21	Adaptive Subgradient Methods for Online Learning and Stochastic Optimization John Duchi University of California, Berkeley Add to Reading List Source URL: www.colt2010.org Language: English - Date: 2013-09-25 06:58:30 Operations research Subgradient method Convex optimization Gradient descent Numerical analysis Mathematical optimization Mathematical analysis
22	c 2009 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 19, No. 4, pp. 1574–1609 Add to Reading List Source URL: www2.isye.gatech.edu Language: English - Date: 2011-05-04 08:44:40 Convex optimization Operations research Stochastic approximation Stochastic optimization Convex function Subgradient method Big O notation Ellipsoid method Mathematical optimization Mathematical analysis Convex analysis
23	Case Study 1: Estimating Click Probabilities SGD cont’d AdaGrad Machine Learning for Big Data CSE547/STAT548, University of Washington Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-04-02 14:33:26 Numerical linear algebra Convex optimization Mathematical optimization Subgradient method Gradient Mathematical analysis Numerical analysis Mathematics
24	Learning with stochastic proximal gradient Lorenzo Rosasco ∗ DIBRIS, Universit`a di Genova Via Dodecaneso, [removed]Genova, Italy Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:36 Stochastic optimization Operations research Stochastic gradient descent Stochastic approximation Gradient descent Gradient method Subgradient method Convex optimization Numerical analysis Mathematical optimization Mathematical analysis
25	New Approximation Algorithms for Minimum Enclosing Convex Shapes Ankan Saha∗ S.V. N. Vishwanathan† Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-10-18 21:25:36 Convex optimization Applied mathematics Linear programming Approximation algorithm Subgradient method Combinatorial optimization Mathematical optimization Operations research Theoretical computer science
26	A1_10472_Cover page 1.indd Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2014-04-10 21:37:24 Statistical classification Operations research Convex analysis Support vector machine Subgradient method Mixing Kernel methods Statistics Mathematical optimization Convex optimization
27	December 7, [removed]:1 Optimization Methods and Software Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Convex analysis Operations research Linear programming Convex function Subgradient method Support vector machine Relaxation Global optimization Proper convex function Mathematical optimization Mathematical analysis Convex optimization
28	On Integrated Clustering and Outlier Detection Linsey Pang University of Sydney [removed] Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Multivariate statistics Robust statistics Outlier Cluster analysis Local outlier factor K-means++ K-means clustering Principal component analysis Subgradient method Statistics Data analysis Data mining
29	A performance comparison between two consensus-based distributed optimization algorithms ⋆ Ion Matei ∗ John S. Baras ∗∗ ∗ Add to Reading List Source URL: www.ece.umd.edu Language: English - Date: 2012-04-30 15:32:35 Convex optimization Operations research Subgradient method Spectral theory Eigenvalues and eigenvectors Ellipsoid method Kalman filter Algebra Mathematics Mathematical optimization
30	Performance Evaluation of Multi-Agent Distributed Collaborative Optimization under Random Communication Topologies Ion Matei and John S. Baras Abstract— We investigate collaborative optimization in a Add to Reading List Source URL: www.isr.umd.edu Language: English - Date: 2012-03-14 16:19:04 Markov models Subgradient method Statistics Markov chain Spectral theory of ordinary differential equations Kalman filter Mathematical optimization Mathematical analysis Convex optimization

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