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Stochastic gradient descent
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#	Item
51	PCA-enhanced stochastic optimization methods Alina Kuznetsova, Gerard Pons-Moll, and Bodo Rosenhahn⋆ Institute for Information Processing (TNT), Leibniz University Hanover, Germany {kuznetso,pons,rosenhahn}@tnt.uni-han Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2012-08-20 04:53:39 Statistics Applied mathematics Numerical analysis Metaheuristics Computational statistics Monte Carlo methods Estimation theory Statistical mechanics Mathematical optimization Simulated annealing Stochastic optimization Gradient descent
52	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 20:45:02 Statistics Mathematical analysis Statistical theory Stochastic optimization Computational statistics Estimation theory M-estimators Stochastic gradient descent Bias of an estimator Mathematical optimization Variational Bayesian methods Biasvariance tradeoff
53	Efficient Learning of Mahalanobis Metrics for Ranking Daryl K. H. Lim DKLIM @ UCSD . EDU Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Gert Lanckriet Add to Reading List Source URL: acsweb.ucsd.edu Language: English - Date: 2014-06-16 18:55:07 Machine learning Learning Statistics Mathematics Learning to rank Support vector machine XQ Valuation Supervised learning Stochastic gradient descent
54	Tabula Rasa: Model Transfer for Object Category Detection Yusuf Aytar Andrew Zisserman Department of Engineering Science University of Oxford {yusuf,az}@robots.ox.ac.uk Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2011-08-18 18:19:28 Statistical classification Computer vision Support vector machine Learning Histogram of oriented gradients Silicon Valley Microelectronics One-shot learning Stochastic gradient descent Hinge loss Machine learning Statistics Artificial intelligence
55	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring Sungjin Ahn Dept. of Computer Science, UC Irvine, Irvine, CA, USA SUNGJIA @ ICS . UCI . EDU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-05-22 12:55:14 Fisher information Markov chain Monte Carlo Normal distribution Stochastic gradient descent Maximum a posteriori estimation Confidence interval Central limit theorem Score Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
56	Parallelized Stochastic Gradient Descent Markus Weimer Yahoo! Labs Sunnyvale, CA 94089 Add to Reading List Source URL: www.research.rutgers.edu Language: English - Date: 2010-11-02 22:16:27
57	Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression Luigi Malag` o1 and Matteo Matteucci2 1 Add to Reading List Source URL: malago.di.unimi.it Language: English - Date: 2013-09-20 17:47:58 Econometrics Statistical theory Stochastic optimization Linear regression Fisher information Least squares Natural evolution strategy Stochastic gradient descent Variance Statistics Estimation theory Regression analysis
58	CME 323: Distributed Algorithms and Optimization, Spring 2015 http://stanford.edu/~rezab/dao. Instructor: Reza Zadeh, Databricks and Stanford. Lecture 11, Schmit. Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-05-13 20:54:52 Stochastic optimization Operations research Stochastic gradient descent Gradient descent K-means++ Expectation–maximization algorithm K-means clustering Mathematical optimization Numerical analysis Statistics Mathematics
59	Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem Yang Mu University of Massachusetts Boston 100 Morrissey Boulevard Add to Reading List Source URL: www.cs.umb.edu Language: English - Date: 2013-06-25 22:09:13 Regression analysis Stochastic optimization Operations research Digital signal processing Filter theory Stochastic gradient descent ADALINE Mathematical optimization Least mean squares filter Numerical analysis Statistics Mathematics
60	ADADELTA: AN ADAPTIVE LEARNING RATE METHOD Matthew D. Zeiler1,2∗ 1 2 Add to Reading List Source URL: www.matthewzeiler.com Language: English - Date: 2012-12-29 18:31:47 Neural networks Computational statistics Stochastic gradient descent Backpropagation Gradient descent Stochastic approximation Gradient method Numerical analysis Stochastic optimization Mathematical optimization