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Stochastic gradient descent
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#	Item
41	Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition Mark Schmidt and Nicolas Le Roux May 16, Add to Reading List Source URL: nicolas.le-roux.name Language: English - Date: 2013-10-09 16:52:30
42	Case Study 1: Estimating Click Probabilities Stochastic Gradient Descent (continued) Machine Learning/Statistics for Big Data CSE599C1/STAT592, University of Washington Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2013-01-17 04:16:10
43	WIC Wintermeeting, February 1, 2016 From Data Compression to Online Machine Learning Tim van Erven Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2016-02-01 08:21:05 Numerical analysis Machine learning Applied mathematics Online machine learning Mathematical optimization Gradient descent Statistical classification Computational statistics Artificial neural networks Support vector machine Stochastic gradient descent
44	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan∗ Indian Institute of Science, Bangalore, INDIA HARIKRISHNA @ CSA . IISC . ERNET. IN Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Mathematical analysis Machine learning Learning Statistics Operations research Statistical classification Stochastic optimization Convex optimization Mathematical optimization Support vector machine Distribution Stochastic gradient descent
45	ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran Add to Reading List Source URL: sampleclean.org Language: English - Date: 2016-01-15 13:57:46 Statistics Statistical theory Estimator Statistical inference M-estimators Convex optimization Stochastic gradient descent Bias of an estimator Loss function Data analysis Linear regression Generalised Hough transform
46	Tracking Time-Varying Hidden Faults using Stochastic Gradient Descent Joh n C. Pla t t , Em r e K c m a n , Da vid A. Ma lt z Microsoft Research, 1 Microsoft Way, Redmond WA 98052 {jplatt, emrek, dmaltz}@microsoft.com ht Add to Reading List Source URL: snowbird.djvuzone.org Language: English - Date: 2007-03-09 02:31:33
47	Stability and optimality in stochastic gradient descent arXiv:1505.02417v1 [stat.ME] 10 May 2015 Panos Toulis, Dustin Tran, and Edoardo M. Airoldi Harvard University Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-05-11 20:26:25
48	Stochastic Gradient Descent with Importance Sampling Rachel Ward UT Austin Joint work with Deanna Needell (Claremont McKenna College) Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2014-08-12 15:41:58
49	Gossip Learning with Linear Models on Fully Distributed Data∗ Róbert Ormándi, István Heged˝us, Márk Jelasity University of Szeged and Hungarian Academy of Sciences {ormandi,ihegedus,jelasity}@inf.u-szeged.hu Add to Reading List Source URL: www.inf.u-szeged.hu Language: English - Date: 2013-02-15 04:43:56 Statistics Machine learning Computer programming Distributed computing File sharing Artificial neural networks Computational statistics Peer-to-peer Expectationmaximization algorithm Perceptron Supervised learning Stochastic gradient descent
50	Sparse Online Learning via Truncated Gradient John Langford Yahoo! Research Add to Reading List Source URL: hunch.net Language: English - Date: 2009-01-11 09:13:59 Machine learning Computational statistics Convex optimization Mathematical optimization Statistical classification Support vector machine Stochastic gradient descent Lasso Vowpal Wabbit Least squares Artificial neural network Gradient descent