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Han Liu, Ph.D. - Publications

Affiliations: 
2010 Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science, Statistics
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34 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Lyu X, Sun WW, Wang Z, Liu H, Yang J, Cheng G. Tensor Graphical Model: Non-convex Optimization and Statistical Inference. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30932830 DOI: 10.1109/Tpami.2019.2907679  0.373
2018 Zhou WX, Bose K, Fan J, Liu H. A NEW PERSPECTIVE ON ROBUST -ESTIMATION: FINITE SAMPLE THEORY AND APPLICATIONS TO DEPENDENCE-ADJUSTED MULTIPLE TESTING. Annals of Statistics. 46: 1904-1931. PMID 30220745 DOI: 10.1214/17-Aos1606  0.342
2018 Battey H, Fan J, Liu H, Lu J, Zhu Z. DISTRIBUTED TESTING AND ESTIMATION UNDER SPARSE HIGH DIMENSIONAL MODELS. Annals of Statistics. 46: 1352-1382. PMID 30034040 DOI: 10.1214/17-Aos1587  0.353
2018 Neykov M, Ning Y, Liu JS, Liu H. A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations Statistical Science. 33: 427-443. DOI: 10.1214/18-Sts661  0.361
2018 Li CJ, Wang M, Liu H, Zhang T. Near-optimal stochastic approximation for online principal component estimation Mathematical Programming. 167: 75-97. DOI: 10.1007/S10107-017-1182-Z  0.32
2017 Han F, Liu H. Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution. Bernoulli : Official Journal of the Bernoulli Society For Mathematical Statistics and Probability. 23: 23-57. PMID 28337068 DOI: 10.3150/15-Bej702  0.313
2017 Liu H, Wang L. TIGER: A tuning-insensitive approach for optimally estimating gaussian graphical models Electronic Journal of Statistics. 11: 241-294. DOI: 10.1214/16-Ejs1195  0.357
2017 Ning Y, Zhao T, Liu H. A likelihood ratio framework for high-dimensional semiparametric regression The Annals of Statistics. 45: 2299-2327. DOI: 10.1214/16-Aos1483  0.305
2017 Sun WW, Lu J, Liu H, Cheng G. Provable sparse tensor decomposition Journal of the Royal Statistical Society Series B-Statistical Methodology. 79: 899-916. DOI: 10.1111/Rssb.12190  0.35
2017 Fang EX, Li M, Jordan MI, Liu H. Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach Journal of the American Statistical Association. 112: 921-932. DOI: 10.1080/01621459.2016.1256812  0.311
2016 Tan KM, Ning Y, Witten DM, Liu H. Replicates in high dimensions, with applications to latent variable graphical models. Biometrika. 103: 761-777. PMID 28736452 DOI: 10.1093/Biomet/Asw050  0.331
2016 Zhao T, Cheng G, Liu H. A PARTIALLY LINEAR FRAMEWORK FOR MASSIVE HETEROGENEOUS DATA. Annals of Statistics. 44: 1400-1437. PMID 28428647 DOI: 10.1214/15-Aos1410  0.326
2016 Zhao T, Liu H. Accelerated Path-following Iterative Shrinkage Thresholding Algorithm with Application to Semiparametric Graph Estimation. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 25: 1272-1296. PMID 28133430 DOI: 10.1080/10618600.2016.1164533  0.352
2016 Han F, Han X, Liu H, Caffo B. Sparse median graphs estimation in a high-dimensional semiparametric model The Annals of Applied Statistics. 10: 1397-1426. DOI: 10.1214/16-Aoas940  0.329
2016 Fang EX, Ning Y, Liu H. Testing and confidence intervals for high dimensional proportional hazards models Journal of the Royal Statistical Society: Series B (Statistical Methodology). 79: 1415-1437. DOI: 10.1111/Rssb.12224  0.329
2016 Fan J, Liu H, Ning Y, Zou H. High dimensional semiparametric latent graphical model for mixed data Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12168  0.371
2016 Fan J, Liao Y, Liu H. An overview of the estimation of large covariance and precision matrices The Econometrics Journal. 19: C1-C32. DOI: 10.1111/Ectj.12061  0.347
2016 Vanderbei R, Lin K, Liu H, Wang L. Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods Mathematical Programming Computation. 8: 253-269. DOI: 10.1007/S12532-016-0105-Y  0.309
2014 Zhao T, Liu H. Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions. Ieee Transactions On Information Theory / Professional Technical Group On Information Theory. 60: 7874-7887. PMID 25632164 DOI: 10.1109/Tit.2014.2360980  0.366
2014 Liu H, Wang L, Zhao T. Sparse Covariance Matrix Estimation With Eigenvalue Constraints. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 23: 439-459. PMID 25620866 DOI: 10.1080/10618600.2013.782818  0.368
2014 Bingsheng H, Liu H, Wang Z, Yuan X. A STRICTLY CONTRACTIVE PEACEMAN-RACHFORD SPLITTING METHOD FOR CONVEX PROGRAMMING. Siam Journal On Optimization : a Publication of the Society For Industrial and Applied Mathematics. 24: 1011-1040. PMID 25620862 DOI: 10.1137/13090849X  0.322
2014 Liu H, Wang L, Zhao T. Multivariate Regression with Calibration. Advances in Neural Information Processing Systems. 27: 5630. PMID 25620861  0.301
2014 Jiang X, Yao Y, Liu H, Guibas L. Compressive Network Analysis. Ieee Transactions On Automatic Control. 59: 2946-2961. PMID 25620806 DOI: 10.1109/Tac.2014.2351712  0.323
2014 Wang Z, Liu H, Zhang T. OPTIMAL COMPUTATIONAL AND STATISTICAL RATES OF CONVERGENCE FOR SPARSE NONCONVEX LEARNING PROBLEMS. Annals of Statistics. 42: 2164-2201. PMID 25544785 DOI: 10.1214/14-Aos1238  0.354
2014 Fan J, Han F, Liu H. Challenges of Big Data Analysis. National Science Review. 1: 293-314. PMID 25419469 DOI: 10.1093/Nsr/Nwt032  0.325
2014 Zhao T, Roeder K, Liu H. Positive Semidefinite Rank-based Correlation Matrix Estimation with Application to Semiparametric Graph Estimation. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 23: 895-922. PMID 25382957 DOI: 10.1080/10618600.2013.858633  0.395
2014 Han F, Liu H. Scale-Invariant Sparse PCA on High Dimensional Meta-elliptical Data. Journal of the American Statistical Association. 109: 275-287. PMID 24932056 DOI: 10.1080/01621459.2013.844699  0.388
2013 Fan J, Liu H. Statistical analysis of big data on pharmacogenomics. Advanced Drug Delivery Reviews. 65: 987-1000. PMID 23602905 DOI: 10.1016/J.Addr.2013.04.008  0.345
2013 Ning Y, Liu H. High-dimensional semiparametric bigraphical models Biometrika. 100: 655-670. DOI: 10.1093/Biomet/Ast009  0.387
2012 Zhao T, Liu H, Roeder K, Lafferty J, Wasserman L. The huge Package for High-dimensional Undirected Graph Estimation in R. Journal of Machine Learning Research : Jmlr. 13: 1059-1062. PMID 26834510  0.508
2012 Lafferty J, Liu H, Wasserman L. Sparse nonparametric graphical models Statistical Science. 27: 519-537. DOI: 10.1214/12-Sts391  0.559
2012 Liu H, Han F, Yuan M, Lafferty J, Wasserman L. High Dimensional Semiparametric Gaussian Copula Graphical Models Annals of Statistics. 40: 2293-2326. DOI: 10.1214/12-Aos1037  0.556
2010 Liu H, Roeder K, Wasserman L. Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models. Advances in Neural Information Processing Systems. 24: 1432-1440. PMID 25152607  0.52
2009 Ravikumar P, Lafferty J, Liu H, Wasserman L. Sparse additive models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 1009-1030. DOI: 10.1111/J.1467-9868.2009.00718.X  0.551
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