NIPS Proceedings^β

Han Liu

24 Papers

A Nonconvex Optimization Framework for Low Rank Matrix Estimation (2015)

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality (2015)

Local Smoothness in Variance Reduced Optimization (2015)

Non-convex Statistical Optimization for Sparse Tensor Graphical Model (2015)

Optimal Linear Estimation under Unknown Nonlinear Transform (2015)

Robust Portfolio Optimization (2015)

Accelerated Mini-batch Randomized Block Coordinate Descent Method (2014)

Mode Estimation for High Dimensional Discrete Tree Graphical Models (2014)

Multivariate Regression with Calibration (2014)

Sparse PCA with Oracle Property (2014)

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time (2014)

Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model (2013)

Sparse Inverse Covariance Estimation with Calibration (2013)

Exponential Concentration for Mutual Information Estimation with Application to Forests (2012)

Semiparametric Principal Component Analysis (2012)

Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation (2012)

Transelliptical Component Analysis (2012)

Transelliptical Graphical Models (2012)

Graph-Valued Regression (2010)

Multivariate Dyadic Regression Trees for Sparse Learning Problems (2010)

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models (2010)

Nonparametric Greedy Algorithms for the Sparse Learning Problem (2009)

Nonparametric regression and classification with joint sparsity constraints (2008)

SpAM: Sparse Additive Models (2007)