least square

Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015 A Statistical Perspective on Algorithmic Leveraging ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 Adaptive Estimation of Measurement Bias in Three-Dimensional Field Sensors with Angular Rate Sensors: Theory and Comparative Experimental Evaluation RSS 2013 Consistency of Robust Kernel Density Estimators COLT 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Directed Regression NeurIPS 2009 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005