Zhang, Yu-Jie

17 publications

NeurIPS 2025 Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update Yu-Jie Zhang, Sheng-An Xu, Peng Zhao, Masashi Sugiyama

ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

ICML 2025 Non-Stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama

JMLR 2024 Adaptivity and Non-Stationarity: Problem-Dependent Dynamic Regret for Online Convex Optimization Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

ICML 2024 Efficient Non-Stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou

ICML 2024 Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

JMLR 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang

NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2023 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

NeurIPS 2023 Imitation Learning from Vague Feedback Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama

NeurIPS 2023 Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost Yu-Jie Zhang, Masashi Sugiyama

NeurIPS 2022 Adapting to Online Label Shift with Provable Guarantees Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou

AAAI 2021 Exploratory Machine Learning with Unknown Unknowns Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

AAAI 2021 Towards Enabling Learnware to Handle Unseen Jobs Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

UAI 2020 A Simple Online Algorithm for Competing with Dynamic Comparators Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2020 An Unbiased Risk Estimator for Learning with Augmented Classes Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou

NeurIPS 2020 Dynamic Regret of Convex and Smooth Functions Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou