least square

Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 Optimal Dictionary for Least Squares Representation JMLR 2017 Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems CVPR 2017 Robust Regression via Heuristic Hard Thresholding IJCAI 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Translation Synchronization via Truncated Least Squares NeurIPS 2017 Unbiased estimates for linear regression via volume sampling NeurIPS 2017 A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016 Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NeurIPS 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Probabilistic Approximate Least-Squares AISTATS 2016 Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016 Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction AISTATS 2016 A Linear Least-Squares Solution to Elastic Shape-From-Template CVPR 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 A Statistical Perspective on Algorithmic Leveraging JMLR 2015 Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection JMLR 2015 Global Supervised Descent Method CVPR 2015 Hardware Compliant Approximate Image Codes CVPR 2015 Learning with Incremental Iterative Regularization NeurIPS 2015 Low-Rank Matrix Recovery from Row-and-Column Affine Measurements ICML 2015 Minimax Fixed-Design Linear Regression COLT 2015 Reflection Modeling for Passive Stereo ICCV 2015 Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NeurIPS 2015 Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NeurIPS 2015