Han Liu
Han Liu
Assistant Professor, Operations Research and Financial Engineering, Princeton University
Verified email at princeton.edu - Homepage
Cited by
Cited by
Patterns and rates of exonic de novo mutations in autism spectrum disorders
BM Neale, Y Kou, L Liu, A Ma’ayan, KE Samocha, A Sabo, CF Lin, ...
Nature 485, 242-245, 2012
Challenges of big data analysis
J Fan, F Han, H Liu
National science review 1 (2), 293-314, 2014
Sparse additive models
P Ravikumar, J Lafferty, H Liu, L Wasserman
Journal of the Royal Statistical Society: Series B 75 (5), 1009-1030, 2009
The nonparanormal: Semiparametric estimation of high dimensional undirected graphs
H Liu, J Lafferty, L Wasserman
The Journal of Machine Learning Research 10, 2295-2328, 2009
High-dimensional semiparametric Gaussian copula graphical models
H Liu, F Han, M Yuan, J Lafferty, L Wasserman
The Annals of Statistics 40 (4), 2293-2326, 2012
Stability approach to regularization selection (stars) for high dimensional graphical models
H Liu, K Roeder, L Wasserman
Advances in Neural Information Processing Systems 23, 1432-1440, 2010
The huge package for high-dimensional undirected graph estimation in R
T Zhao, H Liu, K Roeder, J Lafferty, L Wasserman
The Journal of Machine Learning Research 13 (1), 1059-1062, 2012
Fully decentralized multi-agent reinforcement learning with networked agents
K Zhang, Z Yang, H Liu, T Zhang, T Basar
International Conference on Machine Learning, 5872-5881, 2018
An overview of the estimation of large covariance and precision matrices
J Fan, Y Liao, H Liu
The Econometrics Journal 19 (1), C1-C32, 2016
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
H Liu, M Palatucci, J Zhang
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
A general theory of hypothesis tests and confidence regions for sparse high dimensional models
Y Ning, H Liu
The Annals of Statistics 45 (1), 158-195, 2017
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Z Wang, H Liu, T Zhang
Annals of statistics 42 (6), 2164, 2014
A nonconvex optimization framework for low rank matrix estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems 28, 559, 2015
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
M Wang, EX Fang, H Liu
Mathematical Programming 161 (1-2), 419-449, 2017
A strictly contractive peaceman--rachford splitting method for convex programming
B He, H Liu, Z Wang, X Yuan
SIAM Journal on Optimization 24 (3), 1011-1040, 2014
Forest density estimation
H Liu, M Xu, H Gu, A Gupta, J Lafferty, L Wasserman
Journal of Machine Learning Research 12, 907-951, 2011
Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
A Eloyan, J Muschelli, MB Nebel, H Liu, F Han, T Zhao, A Barber, S Joel, ...
Frontiers in Systems Neuroscience 6, 2012
TIGER: A Tuning-Insensitive Approach for Optimally Estimating Gaussian Graphical Models
H Liu, L Wang
arXiv preprint arXiv:1209.2437, 2012
Structured sparse canonical correlation analysis
X Chen, L Han, J Carbonell
Artificial intelligence and statistics, 199-207, 2012
Joint estimation of multiple graphical models from high dimensional time series
H Qiu, F Han, H Liu, B Caffo
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2016
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