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Publication Date
Article Title
Author(s)
2014
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Wang, Zhaoran; Liu, Han; Zhang, Tong
2016
Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions
Shou, Haochang; Shinohara, Russell T; Liu, Han; Reich, Daniel S; Crainiceanu, Ciprian M
2014
Sparse Covariance Matrix Estimation With Eigenvalue Constraints
Liu, Han; Wang, Lie; Zhao, Tuo
2015
Robust estimation of transition matrices in high dimensional heavy-tailed vector autoregressive processes
Qiu, H; Xu, S; Han, F; Liu, H; Caffo, B
2016
Replicates in high dimensions, with applications to latent variable graphical models
Tan, Kean Ming; Ning, Yang; Witten, Daniela M; Liu, Han
2012
Sparse additive machine
Zhao, T; Liu, H
2015
Robust portfolio optimization
Qiu, H; Han, F; Liu, H; Caffo, B
2017
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Wang, Mengdi; Fang, Ethan X; Liu, Han
1-Jan-2017
Basic models and questions in statistical network analysis
Rácz, Miklos Z; Bubeck, S
1-Jan-2014
Approximating stochastic volatility by recombinant trees
Akyildirim, E; Dolinsky, Y; Soner, H Mete