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Regression

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Papers

Greedy Stone Tower Creations with a Robotic Arm IJCAI 2018
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NIPS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NIPS 2018
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NIPS 2018
Leveraged volume sampling for linear regression NIPS 2018
Hunting for Discriminatory Proxies in Linear Regression Models NIPS 2018
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization NIPS 2018
Sparse PCA from Sparse Linear Regression NIPS 2018
Empirical Risk Minimization Under Fairness Constraints NIPS 2018
Horizon-Independent Minimax Linear Regression NIPS 2018
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NIPS 2018
$\ell_1$-regression with Heavy-tailed Distributions NIPS 2018
An Efficient Pruning Algorithm for Robust Isotonic Regression NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Wavelet regression and additive models for irregularly spaced data NIPS 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NIPS 2018
High Dimensional Linear Regression using Lattice Basis Reduction NIPS 2018
Efficient inference for time-varying behavior during learning NIPS 2018
Derivative Estimation in Random Design NIPS 2018
Active Learning for Non-Parametric Regression Using Purely Random Trees NIPS 2018
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NIPS 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NIPS 2018
Snap ML: A Hierarchical Framework for Machine Learning NIPS 2018