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Stochastic gradient descent
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131	MEAN-NORMALIZED STOCHASTIC GRADIENT FOR LARGE-SCALE DEEP LEARNING Simon Wiesler1 , Alexander Richard1 , Ralf Schl¨uter1 , Hermann Ney1,2 1 Human Language Technology and Pattern Recognition, Computer Science Department, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Artificial intelligence Perceptron Stochastic gradient descent Early stopping Backpropagation Overfitting Speech recognition Mathematical optimization Neural networks Statistics Cybernetics
132	MEAN-NORMALIZED STOCHASTIC GRADIENT FOR LARGE-SCALE DEEP LEARNING Simon Wiesler1 , Alexander Richard1 , Ralf Schl¨uter1 , Hermann Ney1,2 1 Human Language Technology and Pattern Recognition, Computer Science Department, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Artificial intelligence Perceptron Stochastic gradient descent Early stopping Backpropagation Overfitting Speech recognition Mathematical optimization Neural networks Statistics Cybernetics
133	Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu, Benjamin Recht, Christopher R´e and Stephen J. Wright Computer Sciences Department, University of Wisconsin-Madison 1210 W Dayton St, Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-08-22 23:36:09 Gradient descent Gradient Numerical analysis Mathematical analysis Mathematics
134	Parallelized Stochastic Gradient Descent Markus Weimer Yahoo! Labs Sunnyvale, CA[removed]removed] Add to Reading List Source URL: martin.zinkevich.org Language: English - Date: 2010-10-30 00:56:22 Statistics Mathematical analysis Stochastic optimization Lipschitz continuity Spectral theory Convex optimization Artificial neural network Stochastic gradient descent Spectral theory of ordinary differential equations Computational statistics Mathematics Neural networks
135	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
136	Journal of Machine Learning Research[removed]2596 Submitted 5/09; Revised 3/10; Published[removed]Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-10-04 16:05:00 Convex analysis Stochastic optimization Convex optimization Operations research Subgradient method Stochastic gradient descent R. Tyrrell Rockafellar Stochastic approximation Least squares Mathematical optimization Mathematical analysis Numerical analysis
137	Computational and Statistical Tradeoﬀs via Convex Relaxation Venkat Chandrasekaranc and Michael I. Jordanb c b Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-28 16:33:49 Mathematical analysis Operations research Convex optimization Computational statistics Convex hull Convex cone Stochastic gradient descent Convex function Linear programming Mathematical optimization Convex analysis Mathematics
138	A Diverse Stochastic Search Algorithm for Combination Therapeutics Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Search algorithms Mathematical optimization Operations research Algorithm K-nearest neighbor algorithm Gradient descent Stochastic optimization Genetic algorithm LP-type problem Numerical analysis Mathematics Applied mathematics
139	The delta rule Sebastian Seung Add to Reading List Source URL: hebb.mit.edu Language: English - Date: 2006-09-30 13:05:21 Mathematical analysis Computational statistics Perceptron Gradient descent Stochastic gradient descent Mathematical optimization Derivative Heat equation Numerical analysis Neural networks Mathematics
140	P-packSVM: Parallel Primal grAdient desCent Kernel SVM Zeyuan Allen Zhu12, Weizhu Chen2, Gang Wang2, Chenguang Zhu23, Zheng Chen2 1 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2014-02-24 00:46:19 Support vector machines Statistical classification Cybernetics Stochastic gradient descent Sequential minimal optimization Stability Léon Bottou Algorithm Parallel computing Machine learning Statistics Learning

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