Cong Fang

1. SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
   2018/07/04 by Cong Fang, Chris Junchi Li, Fang, Cong +5 · 25 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. Policy Representation via Diffusion Probability Model for Reinforcement Learning
   2023/05/22 by Long Yang, Yang, Long, Zhixiong Huang +15 · 16 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
3. Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
   2020/07/02 by Cong Fang, Jason D. Lee, Fang, Cong +5 · 1 citation
   Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Machine Learning in Materials Science #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
4. On the Lower Bound of Minimizing Polyak-Łojasiewicz Functions
   2022/12/27 by Pengyun Yue, Yue, Pengyun, Cong Fang +3 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
5. Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
   2024/05/07 by Yihong Gu, Cong Fang, Gu, Yihong +5 · 2 citations
   Computer Science · #62G08 #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
6. Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
   2024/06/05 by Yexin Zhang, Chenyi Zhang, Zhang, Yexin +7 · 1 citation
   Computer Science · #Quantum Computing Algorithms and Architecture
7. Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
   2025/02/13 by Yuanshi Liu, Liu, Yuanshi, Haihan Zhang +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical and numerical algorithms