Li, Xingguo
- ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box\n Optimization
2019/10/14 by Xiangyi Chen, Chen, Xiangyi, Sijia Liu +11 · 10 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Deep Hyperspherical Learning
2017/11/08 by Weiyang Liu, Liu, Weiyang, Yan‐Ming Zhang +11 · 4 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
2016/05/09 by Li, Xingguo, Arora, Raman, Liu, Han +2 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- 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)
- NOODL: Provable Online Dictionary Learning and Sparse Coding
2019/02/28 by Rambhatla, Sirisha, Li, Xingguo, Haupt, Jarvis · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- On Generalization Bounds of a Family of Recurrent Neural Networks
2019/10/28 by Minshuo Chen, Xingguo Li, Chen, Minshuo +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- On Computation and Generalization of Generative Adversarial Imitation Learning
2020/01/09 by Minshuo Chen, Chen, Minshuo, Yizhou Wang +11 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Adversarial Robustness in Machine Learning
- Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
2016/12/29 by Xingguo Li, Li, Xingguo, Junwei Lu +11 · 3 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Optical measurement and interference techniques #Medical Image Segmentation Techniques
- Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
2020/02/16 by Zhang, Yi, Plevrakis, Orestis, Du, Simon S. +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)