Kangqiao Liu

1. Strength of Minibatch Noise in SGD
   2021/02/10 by Liu Ziyin, Kangqiao Liu, Ziyin, Liu +5 · 5 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
2. Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
   2020/12/07 by Kangqiao Liu, Liu Ziyin, Liu, Kangqiao +3 · 4 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
3. Power-law escape rate of SGD
   2021/05/20 by T. Mori, Liu Ziyin, Mori, Takashi +5 · 4 citations
   Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Theoretical and Computational Physics
4. Classical codes violate the conjectured square-root bound for quantum random access codes
   2026/07/17 by Kangqiao Liu
   #quant-ph #cs.IT #math.IT