Lin, Yuanyuan

1. Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
   2021/04/14 by Yuling Jiao, Jiao, Yuling, Guohao Shen +5 · 7 citations
   Computer Science · Engineering · Medicine · #62G05 #68T07 #Advanced Neuroimaging Techniques and Applications #FOS: Mathematics #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
2. Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition
   2021/07/10 by Shen, Guohao, Jiao, Yuling, Lin, Yuanyuan +2 · 3 citations
   #62G05 #62G08 #68T07 #FOS: Mathematics #Statistics Theory (math.ST)
3. Wasserstein Generative Regression
   2023/06/27 by Song, Shanshan, Wang, Tong, Shen, Guohao +2 · 3 citations
   #62G08 #68T07 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
   2022/10/18 by Wenlu Tang, Tang, Wenlu, Guohao Shen +5 · 1 citation
   Engineering · Mathematics · #62G08 #62G20 #Advanced Statistical Methods and Models #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
5. Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
   2023/05/01 by Shen, Guohao, Jiao, Yuling, Lin, Yuanyuan +1 · 1 citation
   #68G05 #68G08 #68T07 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)