conftrace_

least square

101 papers

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Co-occurring keywords

linear regression (282) stochastic gradient descent (1091) ridge regression (134) convergence rate (607) robust estimation (168) stochastic optimization (1060) linear dynamical system (86) unbiased estimator (39) kernel methods (1097) implicit regularization (93)

Papers

Hardware Compliant Approximate Image Codes CVPR 2015
Global Supervised Descent Method CVPR 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NIPS 2015
A Statistical Perspective on Algorithmic Leveraging JMLR 2015
Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection JMLR 2015
Learning with Incremental Iterative Regularization NIPS 2015
A Linear Least-Squares Solution to Elastic Shape-From-Template CVPR 2015
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015
Reflection Modeling for Passive Stereo ICCV 2015
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NIPS 2015
A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015
Low-Rank Matrix Recovery from Row-and-Column Affine Measurements ICML 2015
Minimax Fixed-Design Linear Regression COLT 2015
large scale canonical correlation analysis with iterative least squares NIPS 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Estimation with Norm Regularization NIPS 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
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Directed Regression NIPS 2009
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006