high-dimensional regression

Generalisation error in learning with random features and the hidden manifold model ICML 2020 High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020 High-Dimensional Sparse Linear Bandits NeurIPS 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NeurIPS 2020 One-shot Distributed Ridge Regression in High Dimensions ICML 2020 Prediction regions through Inverse Regression JMLR 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020 Sparse Shrunk Additive Models ICML 2020 Spectral Deconfounding via Perturbed Sparse Linear Models JMLR 2020 The Complete Lasso Tradeoff Diagram NeurIPS 2020 The estimation error of general first order methods COLT 2020 Transfer Learning via ℓ_1 Regularization NeurIPS 2020 WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019 Attribute-efficient learning of monomials over highly-correlated variables ALT 2019 Computationally and Statistically Efficient Truncated Regression COLT 2019 Dynamic Pricing in High-dimensions JMLR 2019 First order expansion of convex regularized estimators NeurIPS 2019 Gaussian Regression with Convex Constraints AISTATS 2019 Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NeurIPS 2019