• 2514 Citations
20042021
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Research Output 2004 2019

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Paper
2018
1 Citation (Scopus)

Minimax-optimal privacy-preserving sparse PCA in distributed systems

Ge, J., Wang, Z., Wang, M. & Liu, H., Jan 1 2018, p. 1589-1598. 10 p.

Research output: Contribution to conferencePaper

Privacy Preserving
Minimax
Distributed Systems
Geometric Convergence
Privacy Preservation
2016
2 Citations (Scopus)

A lasso-based sparse knowledge gradient policy for sequential optimal learning

Li, Y., Liu, H. & Powell, W. B., Jan 1 2016, p. 417-425. 9 p.

Research output: Contribution to conferencePaper

Lasso
Gradient
Experiment
Experiments
Penalized Regression
5 Citations (Scopus)

An improved convergence analysis of cyclic block coordinate descent-type methods for strongly convex minimization

Li, X., Zhao, T., Arora, R., Liu, H. & Hong, M., Jan 1 2016, p. 491-499. 9 p.

Research output: Contribution to conferencePaper

Coordinate Descent
Convex Minimization
Convergence Analysis
Minimization Problem
Elastic Net
28 Citations (Scopus)

Low-rank and sparse structure pursuit via alternating minimization

Gu, Q., Wang, Z. & Liu, H., Jan 1 2016, p. 600-609. 10 p.

Research output: Contribution to conferencePaper

Pursuit
Optimization Algorithm
Multi-task Learning
Low-rank Matrices
Convex Relaxation
2013
12 Citations (Scopus)

Feature selection in high-dimensional classification

Kolar, M. & Liu, H., Jan 1 2013, p. 329-337. 9 p.

Research output: Contribution to conferencePaper

Discriminant analysis
dimensional analysis
Feature extraction
discriminant analysis
Statistics
4 Citations (Scopus)

Markov network estimation from multi-attribute data

Kolar, M., Liu, H. & Xing, E. P., Jan 1 2013, p. 1110-1118. 9 p.

Research output: Contribution to conferencePaper

Recovery
guarantee
simulation
performance
literature
5 Citations (Scopus)

Principal component analysis on non-gaussian dependent data

Han, F. & Liu, H., Jan 1 2013, p. 240-248. 9 p.

Research output: Contribution to conferencePaper

Parameter estimation
Principal component analysis
Statistical methods
Recovery
statistical method
16 Citations (Scopus)

Transition Matrix Estimation in High Dimensional Time Series

Han, F. & Liu, H., Jan 1 2013, p. 831-839. 9 p.

Research output: Contribution to conferencePaper

time series
Time series
brain
finance
Finance