least squares regression

New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Greedy Model Averaging NeurIPS 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Compressed Least-Squares Regression NeurIPS 2009 Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009 Robust Regression and Lasso NeurIPS 2008