ML Anthology

Jiao, Yuling

14 publications

NeurIPS 2025 Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang
JMLR 2025 DRM Revisited: A Complete Error Analysis Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang
JMLR 2024 Deep Nonparametric Quantile Regression Under Covariate Shift Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang
AAAI 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
NeurIPS 2024 Non-Asymptotic Approximation Error Bounds of Parameterized Quantum Circuits Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
JMLR 2024 Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
ICML 2023 Fast Excess Risk Rates via Offset Rademacher Complexity Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
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
JMLR 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
NeurIPS 2022 Approximation with CNNs in Sobolev Space: With Applications to Classification Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
ICML 2021 Deep Generative Learning via Schrödinger Bridge Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
NeurIPS 2021 Non-Asymptotic Error Bounds for Bidirectional GANs Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
ICML 2019 Deep Generative Learning via Variational Gradient Flow Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
JMLR 2018 A Constructive Approach to $l_0$ Penalized Regression Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu