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Gradient descent
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#	Item
61	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:02 Convex optimization Mathematical optimization Stochastic optimization Machine learning Gradient descent Subgradient method Stochastic gradient descent Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm Online machine learning Loss functions for classification
62	Energetic Natural Gradient Descent Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-26 17:40:03 Estimation theory Statistical theory Parametric model Loss function Fisher information Expectationmaximization algorithm Divergence Likelihood function Gradient descent
63	Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto diﬀerent architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ Add to Reading List Source URL: colinraffel.com Language: English - Date: 2015-12-30 23:12:51 Artificial neural networks Sigmoid function Artificial neuron Parameter Function Gradient descent Backpropagation Multilayer perceptron Activation function Theano Default argument Artificial intelligence
64	Case Study 1: Estimating Click Probabilities Intro Logistic Regression Gradient Descent Machine Learning/Statistics for Big Data Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2013-01-08 01:56:27
65	Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2016-04-28 14:32:32 Artificial neural networks Applied mathematics Artificial intelligence Machine learning Neuroevolution Evolutionary algorithm Deep learning Backpropagation Stochastic gradient descent HyperNEAT Genetic algorithm Multilayer perceptron
66	Supplementary Materials: Accelerated Stochastic Gradient Descent for Minimizing Finite Sums Atsushi Nitanda Tokyo Institute of Technology and NTT DATA Mathematical Systems Inc. Tokyo, Japan Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-06-06 23:29:35
67	ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-12-16 20:30:23 Artificial neural networks Applied mathematics Machine learning Cybernetics Recurrent neural network Deep learning Long short-term memory Stochastic gradient descent Convolutional neural network Rectifier Backpropagation Gradient descent
68	Topmoumoute online natural gradient algorithm Nicolas Le Roux University of Montreal Pierre-Antoine Manzagol Add to Reading List Source URL: nicolas.le-roux.name Language: English - Date: 2011-05-05 09:32:05 Mathematics Numerical analysis Algebra Computational statistics Stochastic optimization Linear filters Numerical linear algebra Convex optimization Stochastic gradient descent Gradient descent Artificial neural network Mathematical optimization
69	Gradient Descent Objective Function Some differentiable function f : Rn → R. Gradient Descent Start with some x0, i = 0 and learning rate λ repeat Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:42
70	Weighted SGD for ?𝓅 Regression with Randomized Preconditioning Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-12-28 18:07:07 Operations research Econometrics Convex optimization Numerical linear algebra Estimation theory Preconditioner Support vector machine Linear regression Gradient descent Regression analysis Stochastic gradient descent Linear programming

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