papers
Publications (12)
stat.ML2016
Provable Sparse Tensor Decomposition
Will Wei Sun, Junwei Lu, Han Liu +1
math.ST2016
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu, Guang Cheng, Han Liu
cs.LG2019
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
Xingguo Li, Junwei Lu, Zhaoran Wang +2
stat.ML2018
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
Junwei Lu, Mladen Kolar, Han Liu
math.ST2017
Adaptive Inferential Method for Monotone Graph Invariants
Junwei Lu, Matey Neykov, Han Liu
stat.ME2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs
Cong Ma, Junwei Lu, Han Liu
math.ST2018
Combinatorial Inference for Graphical Models
Matey Neykov, Junwei Lu, Han Liu
math.ST2015
Distributed Estimation and Inference with Statistical Guarantees
Heather Battey, Jianqing Fan, Han Liu +2
stat.ML2015
Graphical Fermat's Principle and Triangle-Free Graph Estimation
Junwei Lu, Han Liu
cs.LG2018
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li, Junwei Lu, Raman Arora +4
stat.ML2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks
Kean Ming Tan, Junwei Lu, Tong Zhang +1
stat.ML2018
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
Junwei Lu, Mladen Kolar, Han Liu