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Stochastic approximation
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41	Optimal discrete hedging and approximation of stochastic integrals Carl Lindberg Holger Rootzén, Mathematical Sciences, Chalmers Add to Reading List Source URL: www.math.chalmers.se Language: English - Date: 2012-07-01 01:52:09
42	Optimal discrete hedging and approximation of stochastic integrals Carl Lindberg Holger Rootzén, Mathematical Sciences, Chalmers Add to Reading List Source URL: www.math.chalmers.se Language: English - Date: 2012-07-01 01:52:09
43	DFG-Schwerpunktprogramm 1324 Extraktion quantifizierbarer Information aus komplexen Systemen” ” Effcient low-rank approximation of the stochastic Galerkin matrix in tensor formats Add to Reading List Source URL: www.dfg-spp1324.de Language: English - Date: 2012-05-31 05:32:56
44	Bayesian Learning via Stochastic Gradient Langevin Dynamics Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-05-21 11:48:52 Computational statistics Stochastic optimization Statistical mechanics Estimation theory Markov chain Monte Carlo Langevin dynamics Stochastic approximation Metropolis–Hastings algorithm Mixture model Statistics Probability and statistics Monte Carlo methods
45	Weak Approximation of ∗ Yan Dolinsky Marcel Nutz Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2011-07-12 11:28:13 Probability theory Martingale theory Fourier analysis Game theory Martingale Random variable Central limit theorem Wiener process Quadratic variation Statistics Mathematical analysis Stochastic processes
46	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
47	PDF Document Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2008-09-11 13:00:50 Stochastic optimization Statistical classification Perceptron Support vector machine Stochastic gradient descent Stability Stochastic approximation Gradient descent Kernel trick Machine learning Statistics Numerical analysis
48	Submitted to the Annals of Probability arXiv: math.DS:SMOOTH APPROXIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS By David Kelly∗,‡ and Ian Melbourne† Add to Reading List Source URL: www.dtbkelly.com Language: English - Date: 2014-12-13 17:24:18 Systems Systems theory Anosov diffeomorphism Ergodic theory Hyperbolic set Mathematical analysis Geodesic Constructible universe Structure Dynamical systems Hyperbolic geometry Geometry
49	Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2013-03-26 14:30:36 Science Perceptron Artificial neuron Multilayer perceptron Backpropagation Nonlinear system Radial basis function network Feedforward neural network Neural networks Cybernetics Statistics
50	Stochastic gradient descent with differentially private updates Shuang Song Kamalika Chaudhuri Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-01 13:52:02 Mathematics Stochastic gradient descent Differential privacy Perceptron Gradient descent Mathematical optimization Stochastic approximation Algorithm Numerical analysis Stochastic optimization Applied mathematics