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Regularized least squares
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#	Item
1	Chapter 11 RegressionLinear Regression Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Regression analysis Least squares Linear regression Ordinary least squares Coefficient of determination Linear least squares Residual sum of squares Explained sum of squares Expected value Polynomial regression Regularized least squares
2	Parallel Coordinate Descent for L1 -Regularized Loss Minimization Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-11-03 13:21:57 Statistics Statistical classification Linear algebra Mathematical optimization Mathematics Mathematical analysis Regression analysis Dimension reduction Support vector machine Compressed sensing Regularized least squares Speedup
3	DOIjqas JQAS 2013; 9(1): 97–111 Robert B. Gramacy, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English* - Date: 2013-04-04 09:36:33 Statistics Statistical theory Regression analysis Linear regression Least squares Logistic regression Ordinary least squares Prior probability Bayesian linear regression Bayesian inference Normal distribution Statistical power
4	`1 -Regularized Linear Regression: Persistence and Oracle Inequalities Peter Bartlett EECS and Statistics UC Berkeley Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-06-30 08:20:08 Regression analysis Estimation theory Econometrics Least squares Parametric statistics Linear regression Regularized least squares
5	A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Microsoft Research NYC, New York, NY. ALEKHA @ MICROSOFT. COM Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Mathematical optimization Operations research Convex analysis Convex optimization Gradient descent Big O notation Regularized least squares Random coordinate descent Online machine learning
6	Feature Clustering for Accelerating Parallel Coordinate Descent Chad Scherrer Independent Consultant Yakima, WA Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2013-01-18 21:24:37 Mathematics Numerical analysis Algebra Statistical classification Data mining Linear algebra Greedy algorithm Matroid theory Support vector machine Cluster analysis Algorithm Regularized least squares
7	An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems Kim-Chuan Toh ∗ Add to Reading List Source URL: www.math.nus.edu.sg Language: English - Date: 2010-05-13 07:15:16
8	An Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares Problems Arising in Matrix Completion a a a Add to Reading List Source URL: newton.kias.re.kr Language: English - Date: 2013-01-31 02:01:01
9	Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression Luigi Malag` o1 and Matteo Matteucci2 1 Add to Reading List Source URL: malago.di.unimi.it Language: English - Date: 2013-09-20 17:47:58 Econometrics Statistical theory Stochastic optimization Linear regression Fisher information Least squares Natural evolution strategy Stochastic gradient descent Variance Statistics Estimation theory Regression analysis
10	Regularized Logistic Regression for Mind Reading with Parallel Validation Heikki Huttunen, Jukka-Pekka Kauppi, Jussi Tohka Tampere University of Technology Department of Signal Processing Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:31 Model selection Econometrics Regularization Cross-validation Logistic regression Least squares Feature selection Statistics Machine learning Regression analysis