conftrace_

high dimensional regression

15 papers

Explore in graph

Co-occurring keywords

ridge regression (134) additive model (48) lasso regularization (11) high-dimensional regression (142) nonparametric regression (111) reduced rank regression (7) high dimensional statistics (19) pairwise interaction (11) nuclear norm (79) optimal design (18)

Papers

Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021
One-shot Distributed Ridge Regression in High Dimensions ICML 2020
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019
High Dimensional Linear Regression using Lattice Basis Reduction NIPS 2018
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017
Localized Lasso for High-Dimensional Regression AISTATS 2017
Group Additive Structure Identification for Kernel Nonparametric Regression NIPS 2017
Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016
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
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014
Nonparametric Reduced Rank Regression NIPS 2012