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Han Liu
Han Liu
Associate Professor, Department of Computer Science, Northwestern University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
18552012
Challenges of big data analysis
J Fan, F Han, H Liu
National science review 1 (2), 293-314, 2014
13762014
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
7072009
Sparse additive models
P Ravikumar, J Lafferty, H Liu, L Wasserman
Journal of the Royal Statistical Society: Series B 75 (5), 1009-1030, 2009
5742009
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
5412012
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
4732010
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
4082012
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
3982018
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
3072016
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
2502017
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
2122009
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
M Wang, EX Fang, H Liu
Mathematical Programming 161 (1), 419-449, 2017
1932017
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
1802014
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
1652014
A nonconvex optimization framework for low rank matrix estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems 28, 2015
1532015
SpAM: Sparse Additive Models.
P Ravikumar, H Liu, JD Lafferty, LA Wasserman
NIPS, 1201-1208, 2007
1512007
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
1392012
Forest density estimation
H Liu, M Xu, H Gu, A Gupta, J Lafferty, L Wasserman
Journal of Machine Learning Research 12, 907-951, 2011
134*2011
Distributed testing and estimation under sparse high dimensional models
H Battey, J Fan, H Liu, J Lu, Z Zhu
Annals of statistics 46 (3), 1352, 2018
1202018
Provable sparse tensor decomposition
WW Sun, J Lu, H Liu, G Cheng
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
1202017
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