conftrace_

high-dimensional regression

142 papers

Explore in graph

Co-occurring keywords

sparse regression (175) feature selection (649) variable selection (146) linear regression (282) high-dimensional statistics (145) sparse optimization (246) high-dimensional datum (158) distributed learning (563) convex optimization (1321) model selection (456)

Papers

A convex optimization formulation for multivariate regression NIPS 2020
The Complete Lasso Tradeoff Diagram NIPS 2020
Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020
Sparse Shrunk Additive Models ICML 2020
The estimation error of general first order methods COLT 2020
Sparse High-Dimensional Isotonic Regression NIPS 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NIPS 2019
First order expansion of convex regularized estimators NIPS 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019
Dynamic Pricing in High-dimensions JMLR 2019
On Robustness of Principal Component Regression NIPS 2019
Gaussian Regression with Convex Constraints AISTATS 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019
Computationally and Statistically Efficient Truncated Regression COLT 2019
Attribute-efficient learning of monomials over highly-correlated variables ALT 2019
Sparse Linear Isotonic Models AISTATS 2018
Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions ICML 2018
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach ICML 2018
The xyz algorithm for fast interaction search in high-dimensional data JMLR 2018
A Constructive Approach to $L_0$ Penalized Regression JMLR 2018
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017