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Stochastic gradient descent
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#	Item
101	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
102	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
103	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
104	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
105	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
106	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
107	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
108	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 Peter J. Haas2 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:16 Matrix theory Multivariate statistics Non-negative matrix factorization Matrix Stochastic gradient descent Least squares Mathematical optimization Cholesky decomposition Algebra Mathematics Linear algebra
109	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla December 17, 2011 Peter J. Haas Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:16 Matrix theory Matrix Recommender system Algebra Linear algebra Mathematics
110	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models

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