Yijun Wan

1. Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
   2023/06/13 by Yijun Wan, Wan, Yijun, Barsbey, Melih +4 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Probability (math.PR) #Stochastic Gradient Optimization Techniques
2. Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
   2022/05/23 by Soon Hoe Lim, Lim, Soon Hoe, Yijun Wan +3 · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Stochastic Gradient Optimization Techniques
3. Capacity of the range of tree-indexed random walk
   2020/04/13 by Tianyi Bai, Bai, Tianyi, Yijun Wan +1 · 1 citation
   Mathematics · Physics and Astronomy · #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #Markov Chains and Monte Carlo Methods