Peng Zhao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Smooth Functions

Online Learning

Top Venues

Publications

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI (2024)
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR (2024)
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS (2023)
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. ICML (2023)
Jing Wang, Peng Zhao, Zhi-Hua Zhou
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. AISTATS (2023)
Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. NeurIPS (2023)
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. CoRR (2023)
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Fast Rates in Time-Varying Strongly Monotone Games. ICML (2023)
Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou
Stochastic Approximation Approaches to Group Distributionally Robust Optimization. CoRR (2023)
Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
Efficient Methods for Non-stationary Online Learning. CoRR (2023)
Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. CoRR (2023)
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. CoRR (2023)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT (2022)
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
Non-stationary Online Learning with Memory and Non-stochastic Control. AISTATS (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR (2022)
Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
Efficient Methods for Non-stationary Online Learning. NeurIPS (2022)
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
Adapting to Online Label Shift with Provable Guarantees. CoRR (2022)
Peng Zhao, Longfei Li, Zhi-Hua Zhou
Dynamic Regret of Online Markov Decision Processes. ICML (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. COLT (2022)
Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou
Improving Deep Forest by Screening. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Peng Zhao, Longfei Li, Zhi-Hua Zhou
Dynamic Regret of Online Markov Decision Processes. CoRR (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. CoRR (2022)
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
Adapting to Online Label Shift with Provable Guarantees. NeurIPS (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR (2022)
Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. ICML (2022)
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Storage Fit Learning with Feature Evolvable Streams. AAAI (2021)
Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou
Distribution-Free One-Pass Learning. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Peng Zhao, Lijun Zhang
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions. L4DC (2021)
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
Non-stationary Online Learning with Memory and Non-stochastic Control. CoRR (2021)
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. 22 (2021)
Peng Zhao, Lijun Zhang
Non-stationary Linear Bandits Revisited. CoRR (2021)
Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Towards Enabling Learnware to Handle Unseen Jobs. AAAI (2021)
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. CoRR (2021)
Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou
Exploratory Machine Learning with Unknown Unknowns. AAAI (2021)
Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning with Feature and Distribution Evolvable Streams. ICML (2020)
Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou
A Simple Approach for Non-stationary Linear Bandits. AISTATS (2020)
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
Dynamic Regret of Convex and Smooth Functions. CoRR (2020)
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Storage Fit Learning with Feature Evolvable Streams. CoRR (2020)
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
A Simple Online Algorithm for Competing with Dynamic Comparators. UAI (2020)
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
Bandit Convex Optimization in Non-stationary Environments. AISTATS (2020)
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
Dynamic Regret of Convex and Smooth Functions. NeurIPS (2020)
Peng Zhao, Lijun Zhang
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions. CoRR (2020)
Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou
An Unbiased Risk Estimator for Learning with Augmented Classes. NeurIPS (2020)
Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou
Handling concept drift via model reuse. Mach. Learn. 109 (3) (2020)
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
Exploratory Machine Learning with Unknown Unknowns. CoRR (2020)
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
An Unbiased Risk Estimator for Learning with Augmented Classes. CoRR (2019)
Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM (2019)
Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning from Incomplete and Inaccurate Supervision. KDD (2019)
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
Bandit Convex Optimization in Non-stationary Environments. CoRR (2019)
Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
Dual Set Multi-Label Learning. AAAI (2018)
Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou
Improving Deep Forest by Confidence Screening. ICDM (2018)
Peng Zhao, Zhi-Hua Zhou
Label Distribution Learning by Optimal Transport. AAAI (2018)
Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou
Handling Concept Drift via Model Reuse. CoRR (2018)
Peng Zhao, Zhi-Hua Zhou
Distribution-Free One-Pass Learning. CoRR (2017)
Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Multi-View Matrix Completion for Clustering with Side Information. PAKDD (2) (2017)