high-dimensional regression

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications ICML 2017 A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016 Distributed Multi-Task Learning AISTATS 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 No penalty no tears: Least squares in high-dimensional linear models ICML 2016 Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery JMLR 2015 Implementable confidence sets in high dimensional regression AISTATS 2015 The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Multivariate Regression with Calibration NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NeurIPS 2013 Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NeurIPS 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 One-shot learning and big data with n=2 NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013