conftrace_

least squares regression

49 papers

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Also known as

LSR

Co-occurring keywords

stochastic gradient descent (1091) convergence rate (607) convex optimization (1321) least-squares regression (10) gradient descent (1144) ridge regression (134) early stopping (76) random projection (145) greedy algorithm (242) sparse regression (175)

Papers

Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NIPS 2018
Robust Regression via Heuristic Hard Thresholding IJCAI 2017
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression IJCAI 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics NSDI 2017
Encrypted Accelerated Least Squares Regression AISTATS 2017
Deep Least Squares Regression for Speaker Adaptation INTERSPEECH 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
An inner-loop free solution to inverse problems using deep neural networks NIPS 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression JMLR 2017
NYTRO: When Subsampling Meets Early Stopping AISTATS 2016
Loss Minimization and Parameter Estimation with Heavy Tails JMLR 2016
Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
New Subsampling Algorithms for Fast Least Squares Regression NIPS 2013
Pointwise Tracking the Optimal Regression Function NIPS 2012
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
Greedy Model Averaging NIPS 2011
Scrambled Objects for Least-Squares Regression NIPS 2010
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009