high-dimensional analysis

A Solvable High-Dimensional Model of GAN NeurIPS 2019 Direct Estimation of Differential Functional Graphical Models NeurIPS 2019 Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019 Learning ReLUs via Gradient Descent NeurIPS 2017 The Scaling Limit of High-Dimensional Online Independent Component Analysis NeurIPS 2017 Variable Importance Using Decision Trees NeurIPS 2017 A General Framework for Consistency of Principal Component Analysis JMLR 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 Dirty Statistical Models NeurIPS 2013 Marginal Regression For Multitask Learning AISTATS 2012 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008