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Gradient descent
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#	Item
191	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Francis Bach INRIA - Sierra Project-Team Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2014-12-16 01:31:50 Convex analysis Gradient descent Convex optimization BFGS method Least squares Numerical analysis Mathematical optimization Mathematical analysis
192	Stochastic Gradient Descent Tricks L´eon Bottou Microsoft Research, Redmond, WA [removed] http://leon.bottou.org Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-12-23 10:50:47 Mathematical optimization Machine learning Computational statistics Stochastic gradient descent Gradient descent Backpropagation Stochastic approximation Perceptron Supervised learning Numerical analysis Stochastic optimization Neural networks
193	Under consideration for publication in Knowledge and Information Systems Shared-Memory and Shared-Nothing Stochastic Gradient Descent Algorithms for Matrix Completion Faraz Makari1 , Christina Teflioudi1 , Rainer Gemull Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:17 Numerical linear algebra Matrix Algebra Linear algebra Mathematics
194	Large-scale machine learning and convex optimization Francis Bach INRIA - Ecole Normale Sup´erieure, Paris, France ÉCOLE NORMALE Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2014-11-05 19:03:40 Stochastic optimization Computational statistics Cybernetics Stochastic gradient descent Mathematical optimization Machine learning Gradient method Bioinformatics Stochastic Mathematics Applied mathematics Numerical analysis
195	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 1 Peter J. Haas2 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:17 Matrix theory Non-negative matrix factorization Matrix Stochastic gradient descent Factorial Mathematics Algebra Linear algebra
196	Sparse Distributed Memories in a Bounded Metric State Space Alexandre Bouchard-Côté Supervisor: Doina Precup Reasoning and Learning Lab, McGill University Add to Reading List Source URL: www.stat.ubc.ca Language: English - Date: 2011-11-06 12:07:23 Applied mathematics Mathematics Mathematical analysis Gradient descent Reinforcement learning Mathematical optimization
197	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla Max-Planck-Institut f¨ur Informatik [removed] Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:17 Matrix theory Multivariate statistics Matrices Matrix decomposition Non-negative matrix factorization Matrix Algebra Linear algebra Mathematics
198	Block-Coordinate Frank-Wolfe Optimization for Structural SVMs Simon Lacoste-Julien∗ Martin Jaggi ∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2013-08-14 01:36:43 Linear programming Operations research Statistical classification Support vector machine Sequential minimal optimization Subgradient method Duality Stochastic gradient descent Frank–Wolfe algorithm Mathematical optimization Convex optimization Numerical analysis
199	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla August 23, 2011 Peter J. Haas Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:18 Information science Collective intelligence Social information processing Collaborative filtering Information retrieval Matrix decomposition Stochastic The Matrix Recommender system Mathematics Film Collaboration
200	The Tradeoffs of Large Scale Learning L´ eon Bottou NEC Laboratories of America Princeton, NJ, USA Add to Reading List Source URL: leon.bottou.org Language: English - Date: 2010-12-28 10:47:50 Applied mathematics Stochastic optimization M-estimators Computational statistics Stochastic gradient descent Linear programming Gradient descent Approximation algorithm Numerical analysis Mathematical optimization Operations research