Junwei Lu

发表

Provable sparse tensor decomposition

Han Liu, W. Sun, Junwei Lu, 2015, 1502.01425.

Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

Junwei Lu, Zhaoran Wang, Tuo Zhao, 2016, 2018 Information Theory and Applications Workshop (ITA).

Sketching Method for Large Scale Combinatorial Inference

Junwei Lu, Wei Sun, Han Liu, 2018, NeurIPS.

Adaptive Inferential Method for Monotone Graph Invariants

Han Liu, Junwei Lu, Matey Neykov, 2017, 1707.09114.

Combinatorial inference for graphical models

Han Liu, Junwei Lu, Matey Neykov, 2016, The Annals of Statistics.

Post-Regularization Inference for Dynamic Nonparanormal Graphical Models

Han Liu, Junwei Lu, M. Kolar, 2015 .

Distributed Estimation and Inference with Statistical Guarantees

Jianqing Fan, Han Liu, Junwei Lu, 2015, 1509.05457.

DISTRIBUTED TESTING AND ESTIMATION UNDER SPARSE HIGH DIMENSIONAL MODELS.

Jianqing Fan, Han Liu, Junwei Lu, 2018, Annals of statistics.

Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models

Junwei Lu, Shuting Shen, 2020, 2010.15063.

Graphical Fermat's Principle and Triangle-Free Graph Estimation

Han Liu, Junwei Lu, 2015, 1504.06026.

Post-Regularization Confidence Bands for High Dimensional Nonparametric Models with Local Sparsity

Han Liu, Junwei Lu, M. Kolar, 2015 .

Sparse Principal Component Analysis in Frequency Domain for Time Series

Han Liu, Junwei Lu, Fang Han, 2016 .

Federated Offline Reinforcement Learning

Junwei Lu, Zhaoran Wang, Tianxi Cai, 2022, ArXiv.

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond pdf

Junwei Lu, Zhaoran Wang, Tuo Zhao, 2018, ArXiv.

Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models

Ethan X. Fang, Junwei Lu, Xi Chen, 2023, 2301.12254.

Inference on the Optimal Assortment in the Multinomial Logit Model

Ethan X. Fang, Junwei Lu, Xi Chen, 2023, ArXiv.

Lagrangian Inference for Ranking Problems pdf

Ethan X. Fang, Junwei Lu, Yue Liu, 2021, Oper. Res..

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model

Mladen Kolar, Han Liu, Junwei Lu, 2015, Journal of the American Statistical Association.

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

Tengyu Ma, Junwei Lu, Adrien Gaidon, 2020, ICLR.

Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models

Junwei Lu, Mladen Kolar, Han Liu, 2015, J. Mach. Learn. Res..

Inference of Dynamic Graph Changes for Functional Connectome

Junwei Lu, Hongyu Zhao, Yiliang Zhang, 2019, AISTATS.

Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models

Junwei Lu, Tong Zhang, Kean Ming Tan, 2019, J. Mach. Learn. Res..

Estimating and inferring the maximum degree of stimulus‐locked time‐varying brain connectivity networks

Junwei Lu, Tong Zhang, Han Liu, 2019, Biometrics.

Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach

Han Liu, Cong Ma, Junwei Lu, 2020, Journal of the American Statistical Association.

Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs

Junwei Lu, Cong Ma, Han Liu, 2017, 1709.07036.

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model

Han Liu, Junwei Lu, M. Kolar, 2015, Journal of the American Statistical Association.

Combinatorial Inference for Large-Scale Data Analysis

Junwei Lu, Junwei Lu, 2018 .

Federated Offline Reinforcement Learning

Junwei Lu, Zhaoran Wang, Tianxi Cai, 2022, Journal of the American Statistical Association.

Combinatorial-Probabilistic Trade-Off: P-Values of Community Property Test in the Stochastic Block Models

Junwei Lu, Shuting Shen, 2023, IEEE Transactions on Information Theory.

Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery

Junwei Lu, J. Onnela, T. Smith, 2023, ArXiv.

ING WITH ADAPTIVE REGULARIZATION

Tengyu Ma, Junwei Lu, Adrien Gaidon, 2021 .

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices

Tianxi Cai, Doudou Zhou, Junwei Lu, 2021, J. Mach. Learn. Res..

Robust Scatter Matrix Estimation for High Dimensional Distributions With Heavy Tail

Han Liu, Fang Han, Junwei Lu, 2021, IEEE Transactions on Information Theory.

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Junwei Lu, L. Celi, T. Cai, 2020, NeurIPS.

BELT: Blockwise Missing Embedding Learning Transfomer pdf

Tianxi Cai, Doudou Zhou, Junwei Lu, 2021, ArXiv.

Nonparametric Heterogeneity Testing For Massive Data

Han Liu, Guang Cheng, Junwei Lu, 2016, 1601.06212.