sparse regression

Variable Selection is Hard COLT 2015 Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls JMLR 2014 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Learning Graphical Models With Hubs JMLR 2014 Open Problem: Efficient Online Sparse Regression COLT 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 The Bigraphical Lasso ICML 2013 A Comparison of the Lasso and Marginal Regression JMLR 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 A quasi-Newton proximal splitting method NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012