Gao, Liyao

1. Quantifying Uncertainty in Deep Spatiotemporal Forecasting
   2021/05/25 by Wu, Dongxia, Gao, Liyao, Xiong, Xinyue +4 · 5 citations
   #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
   2020/08/12 by Wei Deng, Qi Feng, Deng, Wei +7 · 5 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Probability (math.PR) #Stochastic Gradient Optimization Techniques
3. DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
   2021/02/12 by Dongxia Wu, Liyao Gao, Wu, Dongxia +11 · 4 citations
   Computer Science · Mathematics · #COVID-19 epidemiological studies #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Healthcare
4. On Optimal Early Stopping: Over-informative versus Under-informative Parametrization
   2022/02/20 by Shen, Ruoqi, Gao, Liyao, Ma, Yi-An · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)