Pengkun Yang

1. Minimax rates of entropy estimation on large alphabets via best polynomial approximation
   2014/07/01 by Yihong Wu, Wu, Yihong, Pengkun Yang +1 · 7 citations
   Computer Science · Neuroscience · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning and Algorithms #Neural dynamics and brain function #Statistics Theory (math.ST)
2. Deep Active Learning with Noise Stability
   2022/05/26 by Xingjian Li, Li, Xingjian, Pengkun Yang +10 · 4 citations
   Computer Science · Medicine · #Machine Learning and Algorithms #Machine Learning and Data Classification #COVID-19 diagnosis using AI
3. On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
   2019/05/26 by Lili Su, Su, Lili, Pengkun Yang +1 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications
4. Polynomial Methods in Statistical Inference: Theory and Practice
   2020/10/12 by Yihong Wu, Pengkun Yang · 1 voice · 1 citation
   Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Scientific Research and Discoveries #cs.IT #math.ST
5. Optimal estimation of high-dimensional location Gaussian mixtures
   2020/02/14 by Natalie Doss, Yihong Wu, Doss, Natalie +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST) #Tensor decomposition and applications
6. 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
7. A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points
   2021/06/29 by Lili Su, Su, Lili, Jiaming Xu +3 · 1 citation
   Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Statistical Methods and Inference
8. Global Convergence of Federated Learning for Mixed Regression
   2022/06/15 by Lili Su, Jiaming Xu, Su, Lili +3 · 1 citation
   Mathematics · Computer Science · #Statistical Methods and Inference #Privacy-Preserving Technologies in Data #Statistical Methods and Bayesian Inference