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

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares NIPS 2019
Implicit Regularization of Accelerated Methods in Hilbert Spaces NIPS 2019
Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019
Fast and Accurate Least-Mean-Squares Solvers NIPS 2019
Reverse Iterative Volume Sampling for Linear Regression JMLR 2018
Cause-Effect Inference by Comparing Regression Errors AISTATS 2018
Learning To Learn Around A Common Mean NIPS 2018
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap ICML 2018
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Unbiased estimates for linear regression via volume sampling NIPS 2017
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems CVPR 2017
Translation Synchronization via Truncated Least Squares NIPS 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting CVPR 2017
Robust Regression via Heuristic Hard Thresholding IJCAI 2017
Optimal Dictionary for Least Squares Representation JMLR 2017
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016
Low-Rank Regression with Tensor Responses NIPS 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NIPS 2016
Probabilistic Approximate Least-Squares AISTATS 2016
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction AISTATS 2016