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Gradient descent
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21	JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 From Averaging to Acceleration, There is Only a Step-size Nicolas Flammarion NICOLAS . FLAMMARION @ ENS . FR Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Mathematical analysis Gradient descent Mathematics Analysis
22	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
23	Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨ Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Machine learning Learning Artificial intelligence Structured prediction Graphical models Statistical classification Conditional random field Support vector machine Multi-label classification Gradient descent Convex optimization Mathematical optimization
24	PDF Document Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2015-01-01 11:20:46 Mathematics Statistics Regression analysis Mathematical analysis Estimation theory Computational statistics Linear regression Stochastic gradient descent Cross entropy Gradient descent Derivative Euclidean vector
25	CS168: The Modern Algorithmic Toolbox Lecture #5: Gradient Descent Basics Tim Roughgarden & Gregory Valiant∗ April 11, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Mathematical analysis Numerical analysis Mathematics Differential calculus Rates Vector calculus Convex analysis Gradient descent Convex optimization Mathematical optimization Derivative Normal
26	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:10 Statistics Mathematical analysis Statistical theory Estimation theory Bayesian statistics Stochastic optimization Probability theory Computational statistics Expectationmaximization algorithm Stochastic gradient descent OrnsteinUhlenbeck process Variational Bayesian methods
27	Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Mathematics Numerical analysis Algebra Linear algebra Convex optimization Operations research Computational statistics Mathematical optimization K-SVD Sparse approximation Deep learning Stochastic gradient descent
28	Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-05 16:26:18 Mathematical optimization Numerical analysis Mathematical analysis Convex optimization Stochastic optimization Machine learning Gradient descent Stochastic gradient descent Subgradient method Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm
29	Under review as a conference paper at ICLRU NIVERSALITY IN HALTING TIME AND ITS APPLICATIONS IN OPTIMIZATION Levent Sagun, Thomas Trogdon & Yann LeCun Courant Institute of Mathematical Sciences Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Statistics Mathematical analysis Probability Probability distributions Kurtosis Skewness Deep learning Gradient descent Normal distribution
30	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Numerical analysis Mathematical analysis Mathematics Estimation theory Numerical linear algebra M-estimators Stochastic optimization Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix

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