Yunwen Lei

1. Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to\n Novel Algorithms
   2015/06/14 by Yunwen Lei, Ürün Doǧan, Lei, Yunwen +5 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and ELM
2. Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
   2016/02/18 by Niloofar Yousefi, Yousefi, Niloofar, Yunwen Lei +7 · 2 citations
   Computer Science · Engineering · #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
3. Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
   2022/09/19 by Yunwen Lei, Rong Jin, Lei, Yunwen +3 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
4. A Generalization Error Bound for Multi-class Domain Generalization
   2019/05/24 by Aniket Anand Deshmukh, Deshmukh, Aniket Anand, Yunwen Lei +9 · 3 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #Machine Learning and ELM
5. Stochastic Proximal AUC Maximization
   2019/06/14 by Yunwen Lei, Lei, Yunwen, Yiming Ying +1 · 2 citations
   Computer Science · Decision Sciences · #Machine Learning and Algorithms #Advanced Bandit Algorithms Research #Imbalanced Data Classification Techniques
6. Localized Multiple Kernel Learning---A Convex Approach
   2015/06/14 by Yunwen Lei, Lei, Yunwen, Alexander Binder +5 · 1 citation
   Computer Science · Engineering · #Face and Expression Recognition #Sparse and Compressive Sensing Techniques #Neural Networks and Applications
7. Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
   2023/05/26 by Puyu Wang, Yunwen Lei, Wang, Puyu +7 · 2 citations
   Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
8. On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
   2024/10/11 by Bokun Wang, Yunwen Lei, Wang, Bokun +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies