linear regression

Minimax Fixed-Design Linear Regression COLT 2015 On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 Self Scaled Regularized Robust Regression CVPR 2015 Truthful Linear Regression COLT 2015 Active Regression by Stratification NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Hard-Margin Active Linear Regression ICML 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Dirty Statistical Models NeurIPS 2013 Feature Multi-Selection among Subjective Features ICML 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013