• 3014 Citations
20042020

Research output per year

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Research Output

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Conference article
2018

Exponentially weighted imitation learning for batched historical data

Wang, Q., Xiong, J., Han, L., Sun, P., Liu, H. & Zhang, T., Dec 1 2018, In : Advances in Neural Information Processing Systems. 31, p. 6288-6297 10 p.

Research output: Contribution to journalConference article

1 Scopus citations

Sketching method for large scale combinatorial inference

Sun, W. W., Lu, J. & Liu, H., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 10598-10607 10 p.

Research output: Contribution to journalConference article

2017

Diffusion approximations for online principal component estimation and global convergence

Li, C. J., Wang, M., Liu, H. & Zhang, T., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 646-656 11 p.

Research output: Contribution to journalConference article

2 Scopus citations

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

Yang, Z., Balasubramanian, K., Wang, Z. & Liu, H., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6098-6107 10 p.

Research output: Contribution to journalConference article

2 Scopus citations

Parametric simplex method for sparse learning

Pang, H., Vanderbei, R., Liu, H. & Zhao, T., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 188-197 10 p.

Research output: Contribution to journalConference article

2016

Agnostic estimation for misspecified phase retrieval models

Neykov, M., Wang, Z. & Liu, H., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 4096-4104 9 p.

Research output: Contribution to journalConference article

5 Scopus citations

Blind attacks on machine learners

Beatson, A., Wang, Z. & Liu, H., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2405-2413 9 p.

Research output: Contribution to journalConference article

1 Scopus citations

More supervision, less computation: Statistical-computational tradeoffs in weakly supervised learning

Yi, X., Wang, Z., Yang, Z., Caramanis, C. & Liu, H., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 4482-4490 9 p.

Research output: Contribution to journalConference article

Online ICA: Understanding global dynamics of nonconvex optimization via diffusion processes

Li, C. J., Wang, Z. & Liu, H., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 4967-4975 9 p.

Research output: Contribution to journalConference article

4 Scopus citations
2015

A nonconvex optimization framework for low rank matrix estimation

Zhao, T., Wang, Z. & Liu, H., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 559-567 9 p.

Research output: Contribution to journalConference article

53 Scopus citations

High dimensional EM algorithm: Statistical optimization and asymptotic normality?

Wang, Z., Gu, Q., Ning, Y. & Liu, H., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2521-2529 9 p.

Research output: Contribution to journalConference article

12 Scopus citations

Local smoothness in variance reduced optimization

Vainsencher, D., Liu, H. & Zhang, T., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2179-2187 9 p.

Research output: Contribution to journalConference article

5 Scopus citations

Non-convex statistical optimization for sparse tensor graphical model

Sun, W., Wang, Z., Liu, H. & Cheng, G., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 1081-1089 9 p.

Research output: Contribution to journalConference article

5 Scopus citations

Optimal linear estimation under unknown nonlinear transform

Yi, X., Wang, Z., Caramanis, C. & Liu, H., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 1549-1557 9 p.

Research output: Contribution to journalConference article

12 Scopus citations

Robust portfolio optimization

Qiu, H., Han, F., Liu, H. & Caffo, B., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 46-54 9 p.

Research output: Contribution to journalConference article

7 Scopus citations
2014

Accelerated mini-batch randomized block coordinate descent method

Zhao, T., Yu, M., Wang, Y., Arora, R. & Liu, H., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 3329-3337 9 p.

Research output: Contribution to journalConference article

28 Scopus citations

Context aware group nearest shrunken centroids in large-scale genomic studies

Yang, J., Han, F., Irizarry, R. A. & Liu, H., Jan 1 2014, In : Journal of Machine Learning Research. 33, p. 1051-1059 9 p.

Research output: Contribution to journalConference article

1 Scopus citations

Mode estimation for high dimensional discrete tree graphical models

Chen, C., Liu, H., Metaxas, D. N. & Zhao, T., Jan 1 2014, In : Advances in Neural Information Processing Systems. 2, January, p. 1323-1331 9 p.

Research output: Contribution to journalConference article

9 Scopus citations

Multivariate regression with calibration

Liu, H., Wang, L. & Zhao, T., Jan 1 2014, In : Advances in Neural Information Processing Systems. 1, January, p. 127-135 9 p.

Research output: Contribution to journalConference article

14 Scopus citations

Sparse PCA with oracle property

Gu, Q., Wang, Z. & Liu, H., Jan 1 2014, In : Advances in Neural Information Processing Systems. 2, January, p. 1529-1537 9 p.

Research output: Contribution to journalConference article

12 Scopus citations

Tighten after relax: Minimax-optimal sparse PCA in polynomial time

Wang, Z., Lu, H. & Liu, H., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 3383-3391 9 p.

Research output: Contribution to journalConference article

12 Scopus citations
2013
2 Scopus citations

Sparse precision matrix estimation with calibration

Zhao, T. & Liu, H., Jan 1 2013, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

Sparse principal component analysis for high dimensional multivariate time series

Wang, Z., Han, F. & Liu, H., Jan 1 2013, In : Journal of Machine Learning Research. 31, p. 48-56 9 p.

Research output: Contribution to journalConference article

3 Scopus citations
2012

Detecting network cliques with radon basis pursuit

Jiang, X., Yao, Y., Liu, H. & Guibas, L., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 565-573 9 p.

Research output: Contribution to journalConference article

1 Scopus citations

Marginal regression for multitask learning

Kolar, M. & Liu, H., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 647-655 9 p.

Research output: Contribution to journalConference article

3 Scopus citations

Sparse additive machine

Zhao, T. & Liu, H., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 1435-1443 9 p.

Research output: Contribution to journalConference article

8 Scopus citations

Structured sparse canonical correlation analysis

Chen, X., Liu, H. & Carbonell, J. G., Jan 1 2012, In : Journal of Machine Learning Research. 22, p. 199-207 9 p.

Research output: Contribution to journalConference article

39 Scopus citations
2010

The group Dantzig selector

Liu, H., Zhang, J., Jiang, X. & Liu, J., Dec 1 2010, In : Journal of Machine Learning Research. 9, p. 461-468 8 p.

Research output: Contribution to journalConference article

14 Scopus citations
2009

Estimation consistency of the group lasso and its applications

Liu, H. & Zhang, J., Dec 1 2009, In : Journal of Machine Learning Research. 5, p. 376-383 8 p.

Research output: Contribution to journalConference article

24 Scopus citations
2007

Sparse nonparametric density estimation in high dimensions using the rodeo

Liu, H., Lafferty, J. & Wasserman, L., Dec 1 2007, In : Journal of Machine Learning Research. 2, p. 283-290 8 p.

Research output: Contribution to journalConference article

19 Scopus citations
2004

An efficient method to estimate labelled sample size for transductive LDA(QDA/MDA) based on bayes risk

Liu, H., Yuan, X., Tang, Q. & Kustra, R., Dec 1 2004, In : Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3201, p. 274-285 12 p.

Research output: Contribution to journalConference article

2 Scopus citations

Modeling protein tandem mass spectrometry data with an extended linear regression strategy

Liu, H., Bonner, A. J. & Emili, A., Dec 1 2004, In : Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 26 IV, p. 3055-3059 5 p.

Research output: Contribution to journalConference article

1 Scopus citations