Qiao, Xingye

15 publications

AAAI 2025 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates Baozhen Wang, Xingye Qiao

AISTATS 2025 Conformal Prediction Under Generalized Covariate Shift with Posterior Drift Baozhen Wang, Xingye Qiao

TMLR 2025 Generalized Prediction Set with Bandit Feedback Zhou Wang, Xingye Qiao

NeurIPS 2024 A Non-Parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation Under Unmeasured Confounding Xinhai Zhang, Xingye Qiao

TMLR 2024 Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees Zhou Wang, Xingye Qiao

ICML 2024 Efficient Online Set-Valued Classification with Bandit Feedback Zhou Wang, Xingye Qiao

JMLR 2023 Set-Valued Classification with Out-of-Distribution Detection for Many Classes Zhou Wang, Xingye Qiao

ICML 2020 Mutual Transfer Learning for Massive Data Ching-Wei Cheng, Xingye Qiao, Guang Cheng

JMLR 2020 Near-Optimal Individualized Treatment Recommendations Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao

NeurIPS 2020 Statistical Guarantees of Distributed Nearest Neighbor Classification Jiexin Duan, Xingye Qiao, Guang Cheng

AAAI 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

NeurIPS 2019 Rates of Convergence for Large-Scale Nearest Neighbor Classification Xingye Qiao, Jiexin Duan, Guang Cheng

NeurIPS 2018 Learning Confidence Sets Using Support Vector Machines Wenbo Wang, Xingye Qiao

JMLR 2015 Flexible High-Dimensional Classification Machines and Their Asymptotic Properties Xingye Qiao, Lingsong Zhang

AAAI 2015 Improving Approximate Value Iteration with Complex Returns by Bounding Robert William Wright, Xingye Qiao, Steven Loscalzo, Lei Yu