papers
Publications (11)
stat.CO2019
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning
Yueyong Shi, Jian Huang, Yuling Jiao +1
stat.CO2017
A Constructive Approach to High-dimensional Regression
Jian Huang, Yuling Jiao, Yanyan Liu +1
stat.ML2018
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Jian Huang, Yuling Jiao, Xiliang Lu +2
cs.IT2013
A Primal Dual Active Set Algorithm with Continuation for Compressed Sensing
Qibin Fan, Yuling Jiao, Xiliang Lu
stat.AP2018
REMI: Regression with marginal information and its application in genome-wide association studies
Jian Huang, Yuling Jiao, Jin Liu +1
cs.LG2019
Deep Generative Learning via Variational Gradient Flow
Yuan Gao, Yuling Jiao, Yang Wang +3
stat.ME2018
VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
Xingjie Shi, Yuling Jiao, Yi Yang +4
stat.ML2019
A stochastic alternating minimizing method for sparse phase retrieval
Jianfeng Cai, Yuling Jiao, Xiliang Lu +1
cs.LG2019
Wasserstein-Wasserstein Auto-Encoders
Shunkang Zhang, Yuan Gao, Yuling Jiao +3
math.OC2019
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Jian Huang, Yuling Jiao, Bangti Jin +3
math.OC2014
A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem
Yuling Jiao, Bangti Jin, Xiliang Lu