Han Liu

T. Zhao, Han Liu, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

A Nonconvex Optimization Framework for Low Rank Matrix Estimation

Zhaoran Wang, Tuo Zhao, Han Liu, 2015, NIPS.

Graph-Valued Regression

Xi Chen, Larry A. Wasserman, John D. Lafferty, 2010, NIPS.

Compressive Network Analysis

Leonidas J. Guibas, Yuan Yao, Han Liu, 2011, IEEE Transactions on Automatic Control.

A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models

Han Liu, Y. Ning, 2014, 1412.8765.

Sketching Method for Large Scale Combinatorial Inference

Junwei Lu, Wei Sun, Han Liu, 2018, NeurIPS.

Adaptive Inferential Method for Monotone Graph Invariants

Han Liu, Junwei Lu, Matey Neykov, 2017, 1707.09114.

Property testing in high-dimensional Ising models

Han Liu, Matey Neykov, 2017, The Annals of Statistics.

Combinatorial inference for graphical models

Han Liu, Junwei Lu, Matey Neykov, 2016, The Annals of Statistics.

Post-Regularization Inference for Dynamic Nonparanormal Graphical Models

Han Liu, Junwei Lu, M. Kolar, 2015 .

Optimal Feature Selection in High-Dimensional Discriminant Analysis

Mladen Kolar, Han Liu, Han Liu, 2013, IEEE Transactions on Information Theory.

CODA: high dimensional copula discriminant analysis

Tuo Zhao, Fang Han, Han Liu, 2013, J. Mach. Learn. Res..

Optimal Rates of Convergence of Transelliptical Component Analysis

Han Liu, Fang Han, 2013 .

Robust Pattern Guided Estimation of Large Covariance Matrix

Jianqing Fan, Han Liu, Fang Han, 2014 .

Local and Global Inference for High Dimensional Nonparanormal Graphical Models

Han Liu, Quanquan Gu, Y. Ning, 2015, 1502.02347.

Local and Global Inference for High Dimensional Gaussian Copula Graphical Models

Han Liu, Quanquan Gu, Yuan Cao, 2015 .

Estimating Galaxy Spectral Functions Using Sparse Composite Models

J. Lafferty, L. Wasserman, C. Genovese, 2007 .

A PARTIALLY LINEAR FRAMEWORK FOR MASSIVE HETEROGENEOUS DATA.

Han Liu, Guang Cheng, Tianqi Zhao, 2014, Annals of statistics.

Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach

Michael I. Jordan, Han Liu, Ethan X. Fang, 2017 .

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality

Zhaoran Wang, Quanquan Gu, Han Liu, 2015, NIPS.

SpAM: Sparse Additive Models

Larry A. Wasserman, Pradeep Ravikumar, John D. Lafferty, 2007, NIPS.

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

Larry A. Wasserman, Kathryn Roeder, Han Liu, 2010, NIPS.

Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

Mengdi Wang, Han Liu, Ethan X. Fang, 2014, Mathematical Programming.

Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo

Larry A. Wasserman, John D. Lafferty, Han Liu, 2007, AISTATS.

Transelliptical Component Analysis

Fang Han, Han Liu, Han Liu, 2012, NIPS.

ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions

Han Liu, Fang Han, 2013, 1310.3561.

Transelliptical Graphical Models

Fang Han, Han Liu, Cun-Hui Zhang, 2012, NIPS.

Learning non-Gaussian multi-index model via second-order Stein's method

Zhaoran Wang, Han Liu, Zhuoran Yang, 2017, NIPS 2017.

High dimensional semiparametric latent graphical model for mixed data

H. Zou, Jianqing Fan, Han Liu, 2014, 1404.7236.

Sparse Inverse Covariance Estimation with Calibration

Tuo Zhao, Han Liu, T. Zhao, 2013, NIPS.

Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning

Ankur P. Parikh, E. Xing, Han Liu, 2014, 1401.3940.

Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming

Han Liu, M. Rosenblum, En-Hsu Yen, 2013, Journal of the American Statistical Association.

On the ℓ 1 -ℓ q Regularized Regression

Han Liu, Jian Zhang, 2008, 0802.1517.

High-temperature structure detection in ferromagnets

Han Liu, Yuan Cao, Matey Neykov, 2018, Information and Inference: A Journal of the IMA.

LARGE COVARIANCE ESTIMATION THROUGH ELLIPTICAL FACTOR MODELS.

Jianqing Fan, Han Liu, Weichen Wang, 2015, Annals of statistics.

High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality

Zhaoran Wang, Han Liu, Quanquan Gu, 2014, 1412.8729.

QUADRO: A SUPERVISED DIMENSION REDUCTION METHOD VIA RAYLEIGH QUOTIENT OPTIMIZATION.

Jianqing Fan, Han Liu, Lucy Xia, 2013, Annals of statistics.

Nonconvex Low Rank Matrix Factorization via Inexact First Order Oracle

T. Zhao, Zhaoran Wang, Han Liu, 2015 .

Rank-based testing for semiparametric VAR models: A measure transportation approach

Han Liu, M. Hallin, D. L. Vecchia, 2020, Bernoulli.

Center-Outward R-Estimation for Semiparametric VARMA Models

Han Liu, Han Liu, M. Hallin, 2019, Journal of the American Statistical Association.

Distribution-free tests of independence in high dimensions

Han Liu, Fang Han, Shizhe Chen, 2014, Biometrika.

Sparse Principal Component Analysis for High Dimensional Vector Autoregressive Models

Zhaoran Wang, Han Liu, Fang Han, 2013, 1307.0164.

Robust Inference of Risks of Large Portfolios.

Jianqing Fan, Han Liu, Fang Han, 2015, Journal of econometrics.

Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes

Fang Han, Sheng Xu, Han Liu, 2015, ICML.

A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression

Han Liu, M. Kolar, Tianqi Zhao, 2014, 1412.8724.

Optimization for Compressed Sensing : New Insights and Alternatives

R. Vanderbei, Han Liu, Lie Wang, 2013 .

2-2009 Sparse Additive Models

J. Lafferty, L. Wasserman, Han Liu, 2015 .

Statistical and Computational Tradeo ff of Regularized Dantzig-type Estimators

T. Zhao, Han Liu, Xingguo Li, 2016 .

Improving Covariate Balancing Propensity Score : A Doubly Robust and Efficient Approach ∗

Jianqing Fan, Han Liu, Y. Ning, 2016 .

Detecting Network Cliques with Radon Basis Pursuit

Y. Yao, Han Liu, L. Guibas, 2012, AISTATS.

Smooth projected density estimation

Han Liu, H. Battey, 2013, 1308.3968.

Graphical Fermat's Principle and Triangle-Free Graph Estimation

Han Liu, Junwei Lu, 2015, 1504.06026.

Post-Regularization Confidence Bands for High Dimensional Nonparametric Models with Local Sparsity

Han Liu, Junwei Lu, M. Kolar, 2015 .

An R Package flare for High Dimensional Linear Regression and Precision Matrix Estimation

Xiaoming Yuan, Tuo Zhao, Han Liu, 2012 .

Sparse Principal Component Analysis in Frequency Domain for Time Series

Han Liu, Junwei Lu, Fang Han, 2016 .

Optimal Feature Selection in High-Dimensional

Han Liu, M. Kolar, 2015 .

TIGER : A tuning-insensitive approach for optimally estimating Gaussian graphical models

Han Liu, 2017 .

Estimating Large Covariance and Precision Matrices

Jianqing Fan, Han Liu, Yuan Liao, 2015 .

On the statistical limits of convex relaxations: a case study

Han Liu, Quanquan Gu, Zhaoran Wang, 2016, ICML 2016.

Robust Inference of Risks of Large Portfolios

Jianqing Fan, Han Liu, Fang Han, 2015 .

M L ] 2 0 A pr 2 01 3 Graph Estimation From Multi-attribute Data

E. Xing, Han Liu, M. Kolar, 2013 .

A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs

Han Liu, Jian Kang, F. DuBois Bowman, 2016, NeuroImage.

Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-Block Separable Convex Programming

Bingsheng He, Xiaoming Yuan, Han Liu, 2016 .

Generalized alternating direction method of multipliers: new theoretical insights and applications

Bingsheng He, Xiaoming Yuan, Han Liu, 2015, Math. Program. Comput..

A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming

Bingsheng He, Xiaoming Yuan, Zhaoran Wang, 2014, SIAM J. Optim..

TIGER : A tuning-insensitive approach for optimally estimating Gaussian graphical models

Han Liu, Han Liu, 2017 .

Approaches to High-Dimensional Covariance and Precision Matrix Estimations

Han Liu, Jianqing Fan, Yuan Liao, 2016 .

TIGER: A Tuning-Insensitive Approach for Optimally Estimating Gaussian Graphical Models

Han Liu, Lie Wang, Han Liu, 2012, 1209.2437.

Robust Portfolio Optimization

Fang Han, Han Liu, Brian Caffo, 2015, NIPS.

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model

Mladen Kolar, Han Liu, Junwei Lu, 2015, Journal of the American Statistical Association.

Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data

Han Liu, Fang Han, Han Liu, 2014, Journal of the American Statistical Association.

Challenges of Big Data Analysis.

Han Liu, Jianqing Fan, Fang Han, 2013, National science review.

Low-Rank and Sparse Structure Pursuit via Alternating Minimization

Zhaoran Wang, Quanquan Gu, Han Liu, 2016, AISTATS.

On the Statistical Limits of Convex Relaxations

Zhaoran Wang, Quanquan Gu, Han Liu, 2015, ICML.

Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection

Kathryn Roeder, Han Liu, Kevin Z. Lin, 2018 .

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Mengdi Wang, Tuo Zhao, Tong Zhang, 2019, J. Mach. Learn. Res..

Picasso : A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Han Liu, Han Liu, 2019 .

A General Theory of Pathwise Coordinate Optimization for Nonconvex Sparse Learning ∗

T. Zhao, Han Liu, Tong Zhang, 2016 .

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory pdf

Tuo Zhao, Tong Zhang, Han Liu, 2014, ArXiv.

Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models

Junwei Lu, Mladen Kolar, Han Liu, 2015, J. Mach. Learn. Res..

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference pdf

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2015, ArXiv.

High Dimensional Semiparametric Gaussian Copula Graphical Models.

Larry A. Wasserman, John D. Lafferty, Fang Han, 2012, ICML 2012.

Sparse Additive Machine

Tuo Zhao, Han Liu, T. Zhao, 2012, AISTATS.

Principal Component Analysis on non-Gaussian Dependent Data

Fang Han, Han Liu, Han Liu, 2013, ICML.

Exponential Concentration for Mutual Information Estimation with Application to Forests

Larry A. Wasserman, John D. Lafferty, Han Liu, 2012, NIPS.

Kolmogorov Dependence Theory

Han Liu, B. Caffo, Huitong Qiu, 2021 .

Forest Density Estimation

Larry Wasserman, Min Xu, John Lafferty, 2010, J. Mach. Learn. Res..

Mode Estimation for High Dimensional Discrete Tree Graphical Models

Chao Chen, Dimitris N. Metaxas, Tianqi Zhao, 2014, NIPS.

Optimal, two‐stage, adaptive enrichment designs for randomized trials, using sparse linear programming

Han Liu, Ethan X. Fang, Michael Rosenblum, 2020, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Optimal Covariate Balancing Conditions in Propensity Score Estimation

Han Liu, Yang Ning, Kosuke Imai, 2021, Journal of Business & Economic Statistics.

Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models

Junwei Lu, Tong Zhang, Kean Ming Tan, 2019, J. Mach. Learn. Res..

On High Dimensional Post-Regularization Prediction Intervals

Han Liu, Yang Ning, Shih-Kang Chao, 2016 .

The Knowledge Gradient Policy Using A Sparse Additive Belief Model pdf

Warren B. Powell, Han Liu, Yan Li, 2015, ArXiv.

Nonparametric Greedy Algorithms for the Sparse Learning Problem

Xi Chen, Han Liu, X. Chen, 2009, NIPS.

Nonparametric regression and classification with joint sparsity constraints

Larry A. Wasserman, John D. Lafferty, Han Liu, 2008, NIPS.

High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation

Krishnakumar Balasubramanian, Zhuoran Yang, Han Liu, 2017, ICML.

Near-optimal stochastic approximation for online principal component estimation

Tong Zhang, Han Liu, Mengdi Wang, 2016, Math. Program..

Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution.

Han Liu, Fang Han, 2013, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

Multivariate Regression with Calibration

Lie Wang, Tuo Zhao, Han Liu, 2013, NIPS.

Tensor Graphical Model: Non-convex Optimization and Statistical Inference

Jian Yang, Zhaoran Wang, Han Liu, 2016, 1609.04522.

On the l 1l q Regularized Regression

Han Liu, Jian Zhang, Han Liu, 2015 .

Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis

Xi Chen, Jaime G. Carbonell, Yan Liu, 2010, AAAI.

Max-norm optimization for robust matrix recovery

Kim-Chuan Toh, Han Liu, Ethan X. Fang, 2016, Math. Program..

A direct estimation of high dimensional stationary vector autoregressions

Fang Han, Han Liu, Huanran Lu, 2013, J. Mach. Learn. Res..

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery

Han Liu, Mark Palatucci, Jian Zhang, 2009, ICML '09.

The huge Package for High-dimensional Undirected Graph Estimation in R

Larry A. Wasserman, John D. Lafferty, Tuo Zhao, 2012, J. Mach. Learn. Res..

Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies

Rafael A. Irizarry, Fang Han, Han Liu, 2014, AISTATS.

Graph estimation from multi-attribute data

Eric P. Xing, Mladen Kolar, Han Liu, 2012, J. Mach. Learn. Res..

Structured Sparse Canonical Correlation Analysis

Xi Chen, Jaime G. Carbonell, Han Liu, 2012, AISTATS.

The Group Dantzig Selector

Han Liu, Jun Liu, Xiaoye Jiang, 2010, AISTATS.

Estimation Consistency of the Group Lasso and its Applications

Han Liu, Jian Zhang, Han Liu, 2009, AISTATS.

Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time pdf

Zhaoran Wang, Han Liu, Huanran Lu, 2014, ArXiv.

Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach

Han Liu, Cong Ma, Junwei Lu, 2020, Journal of the American Statistical Association.

Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs

Junwei Lu, Cong Ma, Han Liu, 2017, 1709.07036.

Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph Estimation

Tuo Zhao, Kathryn Roeder, Han Liu, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines

Stuart L. Schreiber, Han Liu, Amrita Basu, 2018, Bioinform..

Identifying Economic Regimes: Reducing Downside Risks for University Endowments and Foundations

John M. Mulvey, Han Liu, Han Liu, 2016, The Journal of Portfolio Management.

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2016, ICML.

Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions

Ciprian M Crainiceanu, Haochang Shou, Russell T Shinohara, 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Accelerated Mini-batch Randomized Block Coordinate Descent Method

Yiming Wang, Mo Yu, Tuo Zhao, 2014, NIPS.

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

Zhaoran Wang, Han Liu, Huanran Lu, 2014, NIPS.

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model

Han Liu, Junwei Lu, M. Kolar, 2015, Journal of the American Statistical Association.

On Semiparametric Exponential Family Graphical Models

Zhuoran Yang, Han Liu, Yang Ning, 2014, J. Mach. Learn. Res..

A Unified Framework for Testing High Dimensional Parameters: A Data-Adaptive Approach.

Han Liu, Xinsheng Zhang, Wenxin Zhou, 2018, 1808.02648.

The fastclime package for linear programming and large-scale precision matrix estimation in R

Robert J. Vanderbei, Haotian Pang, Han Liu, 2014, J. Mach. Learn. Res..

Transition Matrix Estimation in High Dimensional Time Series

Fang Han, Han Liu, Han Liu, 2013, ICML.

Local Smoothness in Variance Reduced Optimization

Daniel Vainsencher, Tong Zhang, Han Liu, 2015, NIPS.

Optimal Linear Estimation under Unknown Nonlinear Transform

Constantine Caramanis, Zhaoran Wang, Xinyang Yi, 2015, NIPS.

Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods

Robert J. Vanderbei, Lie Wang, Han Liu, 2016, Math. Program. Comput..

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function

Tuo Zhao, Mingyi Hong, Raman Arora, 2016, UAI.

glmgraph: an R package for variable selection and predictive modeling of structured genomic data

Hongzhe Li, Jun Chen, Li Chen, 2015, Bioinform..

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

Fang Han, Han Liu, Han Liu, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semiparametric Principal Component Analysis

Fang Han, Han Liu, Han Liu, 2012, NIPS.

Sparse Covariance Matrix Estimation With Eigenvalue Constraints

Lie Wang, Tuo Zhao, Han Liu, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Forest Density Estimation

J. Lafferty, L. Wasserman, Min Xu, 2010, J. Mach. Learn. Res..

A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data

Ji Zhang, Han Liu, Rafal Kustra, 2004, IC-AI.

Dimension Reduction of Microarray Data with Penalized Independent Component Aanalysis

Han Liu, Rafal Kustra, Han Liu, 2005 .

Statistical analysis of big data on pharmacogenomics.

Han Liu, Jianqing Fan, Jianqing Fan, 2013, Advanced drug delivery reviews.

Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach

Mengdi Wang, Han Liu, Ethan X. Fang, 2018, Math. Program..

Optimal Sparse Principal Component Analysis in High Dimensional Elliptical Model

Han Liu, Fang Han, 2013 .