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Publication DateArticle TitleAuthor(s)
2018Post-regularization inference for time-varying nonparanormal graphical modelsLu, J; Kolar, M; Liu, H
22-Feb-2018Pathwise coordinate optimization for sparse learning: Algorithm and theoryZhao, T; Liu, H; Zhang, T
2017Provable sparse tensor decompositionSun, Will Wei; Lu, Junwei; Liu, Han; Cheng, Guang
2014Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph EstimationZhao, Tuo; Roeder, Kathryn; Liu, Han
2014Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear ProgrammingRosenblum, Michael; Liu, Han; Yen, En-Hsu
2014Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical DataHan, Fang; Liu, Han
2013Principal component analysis on non-gaussian dependent dataHan, F; Liu, H
2016Gradients weights improve regression and classificationKpotufe, S; Boularias, A; Schultz, T; Kim, K
2016Equilibrium Pricing in Incomplete Markets Under Translation Invariant PreferencesCheridito, Patrick; Horst, Ulrich; Kupper, Michael; Pirvu, Traian A
2013BSΔEs and BSDEs with non-Lipschitz drivers: Comparison, convergence and robustnessCheridito, Patrick; Stadje, Mitja