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ridge regression

134 papers

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Also known as

MRR RR

Co-occurring keywords

kernel methods (1096) linear regression (281) lasso regression (61) reproducing kernel hilbert space (334) regret bound (1918) high-dimensional regression (142) implicit regularization (93) least square (100) ordinary least square (15) logistic regression (382)

Papers

Iterate Averaging as Regularization for Stochastic Gradient Descent COLT 2018
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018
Approximate Steepest Coordinate Descent ICML 2017
Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017
Encrypted Accelerated Least Squares Regression AISTATS 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
Generalization Properties of Learning with Random Features NIPS 2017
Differentially Private Ordinary Least Squares ICML 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017
The Teaching Dimension of Linear Learners JMLR 2016
Principal Component Projection Without Principal Component Analysis ICML 2016
No penalty no tears: Least squares in high-dimensional linear models ICML 2016
Solving Ridge Regression using Sketched Preconditioned SVRG ICML 2016
The Teaching Dimension of Linear Learners ICML 2016
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016
Greedy Feature Construction NIPS 2016
Learning Theory for Distribution Regression JMLR 2016
Staple: Complementary Learners for Real-Time Tracking CVPR 2016
Two-stage sampled learning theory on distributions AISTATS 2015
Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Efficiency of conformalized ridge regression COLT 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014