Feng, Xingdong

5 publications

JMLR 2024 Deep Nonparametric Quantile Regression Under Covariate Shift Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang

ICML 2024 Optimal Kernel Quantile Learning with Random Features Caixing Wang, Xingdong Feng

JMLR 2023 Over-Parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou

NeurIPS 2023 Towards a Unified Analysis of Kernel-Based Methods Under Covariate Shift Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang

NeurIPS 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning Fan Zhou, Jianing Wang, Xingdong Feng