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Convex optimization
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#	Item
641	Information-theoretic lower bounds on the oracle complexity of sparse convex optimization Peter L. Bartlett Computer Science Division Department of Statistics Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2010-11-27 20:16:44 Convex analysis Operations research Convex optimization Linear algebra Convex function Lipschitz continuity Vector space Subgradient method Distribution Mathematical optimization Mathematical analysis Mathematics
642	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: www.magicbroom.info Language: English - Date: 2012-09-24 14:25:51 Operations research Convex optimization Gradient descent Subgradient method Perceptron Stochastic gradient descent Gradient method BFGS method Numerical analysis Mathematical optimization Stochastic optimization
643	Microsoft Word - NEW15.docx Add to Reading List Source URL: agecon2.tamu.edu Language: English - Date: 2013-08-28 15:26:31 Numerical analysis Applied mathematics Convex optimization Linear programming Cutting-plane method Combinatorial optimization Numerical software Local consistency Linear programming relaxation Mathematical optimization Constraint programming Operations research
644	Eﬃcient Euclidean Projections onto the Intersection of Norm Balls Hao Su∗1 [removed] Adams Wei Yu∗2 [removed] Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 17:55:33 Operator theory Functional analysis Mathematical optimization Spectral theory Norm Projection Vector space Von Neumann algebra Convex optimization Algebra Mathematics Linear algebra
645	A Scalable Modular Convex Solver for Regularized Risk Minimization 1 Choon Hui Teo1 , Quoc Le1,2 , Alex Smola1 , and S.V.N. Vishwanathan1 Statistical Machine Learning, NICTA, Northbourne Avenue 218, Canberra 2601, ACT, A Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2007-06-11 10:51:34 Regression analysis Econometrics Mathematical optimization Operations research Linear algebra Linear programming Convex optimization Poisson regression Quantile regression Algebra Mathematics Statistics
646	R Foundations and Trends in Machine Learning Vol. 3, No[removed]–122 c 2011 S. Boyd, N. Parikh, E. Chu, B. Peleato Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2011-08-08 17:20:19 Quadratic programming Convex optimization Augmented Lagrangian method Support vector machine Algorithm Linear programming Multidisciplinary design optimization Mathematical optimization Mathematics Applied mathematics
647	R Foundations and Trends in Machine Learning Vol. 3, No[removed]–122 c 2011 S. Boyd, N. Parikh, E. Chu, B. Peleato Add to Reading List Source URL: stanford.edu Language: English - Date: 2011-08-08 17:20:19 Quadratic programming Convex optimization Augmented Lagrangian method Support vector machine Algorithm Linear programming Multidisciplinary design optimization Mathematical optimization Mathematics Applied mathematics
648	fu ¨ r Mathematik in den Naturwissenschaften Leipzig Add to Reading List Source URL: www.mis.mpg.de Language: English - Date: 2003-11-05 07:44:42 Linear algebra Convex analysis Mathematical optimization Quasiconvex function Real analysis Ordinal number Derivative Vector space Itō diffusion Mathematics Algebra Mathematical analysis
649	Distributed Optimization and Statistics via Alternating Direction Method of Multipliers Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2011-01-27 14:46:44 Mathematical analysis Numerical analysis Duality Lagrangian Augmented Lagrangian method Mathematical optimization Operations research Convex optimization
650	High-arity Interactions, Polyhedral Relaxations, and Cutting Plane Algorithm for Soft Constraint Optimisation (MAP-MRF) Add to Reading List Source URL: cmp.felk.cvut.cz Language: English - Date: 2008-08-29 08:22:46 Constraint programming Operations research Relaxation Convex optimization Linear programming relaxation Constraint satisfaction problem Linear programming Normal distribution Constraint satisfaction Mathematical optimization Mathematics Applied mathematics

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