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Gradient descent
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#	Item
141	A Course in Machine Learning Hal Daumé III 12 \| E FFICIENT L EARNING Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:32 Search algorithms Stochastic optimization Computational statistics Neural networks Learning Mathematical optimization Stochastic gradient descent Perceptron Hash function Statistics Numerical analysis Machine learning
142	Adaptive Subgradient Methods for Online Learning and Stochastic Optimization John Duchi University of California, Berkeley Add to Reading List Source URL: www.colt2010.org Language: English - Date: 2013-09-25 06:58:30 Operations research Subgradient method Convex optimization Gradient descent Numerical analysis Mathematical optimization Mathematical analysis
143	Nonmonotone Spectral Projected Gradient Methods on Convex Sets Ernesto G. Birgin ∗ Add to Reading List Source URL: www.ime.usp.br Language: English - Date: 2006-04-13 13:20:50 Mathematical optimization Conjugate gradient method XK Gradient descent Vehicle Identification Number Numerical analysis Numerical linear algebra Gradient method
144	Optimization Algorithms, Implementations Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2009-09-15 12:00:50 Operations research Gradient descent Gradient method Penalty method Conjugate gradient method Constraint optimization PROPT Multidisciplinary design optimization Numerical analysis Numerical linear algebra Mathematical optimization
145	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical theory M-estimators Operations research Variational Bayesian methods Mathematical optimization Stochastic gradient descent Stochastic optimization Variance Bias of an estimator Statistics Probability theory Estimation theory
146	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
147	Journal of Machine Learning Research[removed]1892 Submitted 12/10; Revised 5/11; Published 6/11 Stochastic Methods for ℓ1 -regularized Loss Minimization Shai Shalev-Shwartz Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-10 17:21:39 Stochastic optimization Stochastic gradient descent Statistics
148	Appendix B Chain-rule propagation algorithms B.1 Add to Reading List Source URL: q12.org Language: English - Date: 2002-03-13 22:41:13 Matrix theory Gradient descent Matrix calculus Matrix Perceptron Algebra Mathematics Numerical analysis
149	Communication Efficient Distributed Machine Learning with the Parameter Server Mu Li∗† , David G. Andersen∗ , Alexander Smola∗‡ , and Kai Yu† ∗ Carnegie Mellon University † Baidu ‡ Google Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-11-05 12:24:13 Computational statistics Stochastic gradient descent Stochastic optimization Mathematical optimization Support vector machine Distributed computing Algorithm Statistics Machine learning Mathematics
150	Ch.7 Nonlinear optimization [Book, Chap. 5] To appreciate the vast difference between linear optimization and nonlinear optimization, consider the relation y = w0 + L Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-28 03:07:27 Applied mathematics Gradient descent Linear programming Quasi-Newton method Descent direction W0 Least squares Numerical analysis Mathematical optimization Operations research

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