Lu, Junwei

1. Distributed Estimation and Inference with Statistical Guarantees
   2015/09/17 by Heather Battey, Jianqing FanHan, Battey, Heather +4 · 12 citations
   Mathematics · #Advanced Statistical Methods and Models #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
2. Federated Offline Reinforcement Learning
   2022/06/11 by Zhou, Doudou, Zhang, Yufeng, Sonabend-W, Aaron +3 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
3. Lagrangian Inference for Ranking Problems
   2021/10/01 by Liu, Yue, Fang, Ethan X., Lu, Junwei · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Provable Sparse Tensor Decomposition
   2015/02/05 by Will Wei Sun, Junwei Lu, Sun, Will Wei +5 · 2 citations
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
5. Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
   2020/06/23 by Sonabend-W, Aaron, Lu, Junwei, Celi, Leo A. +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
6. Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
   2016/12/29 by Xingguo Li, Li, Xingguo, Junwei Lu +11 · 4 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Optical measurement and interference techniques #Medical Image Segmentation Techniques
7. On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
   2018/06/13 by Li, Xingguo, Lu, Junwei, Wang, Zhaoran +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
   2020/06/29 by Kaidi Cao, Yining Chen, Cao, Kaidi +9 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
9. Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
   2021/05/21 by Doudou Zhou, Tianxi Cai, Zhou, Doudou +3 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)