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Publication Date
Article Title
Author(s)
Dec-2014
Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions
Zhao, Tuo; Liu, Han
1-Jan-2016
A lasso-based sparse knowledge gradient policy for sequential optimal learning
Li, Yan; Liu, Han; Powell, Warren B.
Feb-2017
A general theory of hypothesis tests and confidence regions for sparse high dimensional models
Ning, Yang; Liu, Han
1-Jan-2019
Multi-Level Stochastic Gradient Methods for Nested Composition Optimization
Yang, Shuoguang; Wang, Mengdi; Fang, Ethan X.
1-Dec-2015
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Han, Fang; Lu, Huanran; Liu, Han
Nov-2016
A Depression Network of Functionally Connected Regions Discovered via Multi-Attribute Canonical Correlation Graphs
Kang, Jian; Bowman, F. DuBois; Mayberg, Helen; Liu, Han
2016
Blind attacks on machine learners
Beatson, Alex; Wang, Zhaoran; Liu, Han
2015
High dimensional EM algorithm: Statistical optimization and asymptotic normality
Wang, Z; Gu, Q; Ning, Y; Liu, H
1-Dec-2012
The valuation of clean spread options: Linking electricity, emissions and fuels
Carmona, Rene; Coulon, M; Schwarz, D
1-Jan-2019
Simple Local Polynomial Density Estimators
Cattaneo, Matias D; Jansson, M; Ma, X