Peng Zhao

According to our database, Peng Zhao authored at least 46 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploratory machine learning with unknown unknowns.

Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou

Artif. Intell., February, 2024

Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition.

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

CoRR, 2024

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation.

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Non-stationary Online Learning with Memory and Non-stochastic Control.

Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2023

Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

CoRR, 2023

Stochastic Approximation Approaches to Group Distributionally Robust Optimization.

Lijun Zhang, Peng Zhao, Tianbao Yang, Zhi-Hua Zhou

CoRR, 2023

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.

Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

CoRR, 2023

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Regret of Adversarial Linear Mixture MDPs.

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Approximation Approaches to Group Distributionally Robust Optimization.

Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Rates in Time-Varying Strongly Monotone Games.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the International Conference on Machine Learning, 2023

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.

Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang

Proceedings of the International Conference on Machine Learning, 2023

Handling New Class in Online Label Shift.

Yuyang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

Revisiting Weighted Strategy for Non-stationary Parametric Bandits.

Jing Wang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions.

Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning From Incomplete and Inaccurate Supervision.

Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2022

Improving Deep Forest by Screening.

Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2022

Adapting to Online Label Shift with Provable Guarantees.

Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Methods for Non-stationary Online Learning.

Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamic Regret of Online Markov Decision Processes.

Peng Zhao, Longfei Li, Zhi-Hua Zhou

Proceedings of the International Conference on Machine Learning, 2022

No-Regret Learning in Time-Varying Zero-Sum Games.

Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou

Proceedings of the International Conference on Machine Learning, 2022

Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits.

Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Adaptive Bandit Convex Optimization with Heterogeneous Curvature.

Haipeng Luo, Mengxiao Zhang, Peng Zhao

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Non-stationary Online Learning with Memory and Non-stochastic Control.

Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Distribution-Free One-Pass Learning.

Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2021

Bandit Convex Optimization in Non-stationary Environments.

Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2021

Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization.

Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

CoRR, 2021

Non-stationary Linear Bandits Revisited.

Peng Zhao, Lijun Zhang

CoRR, 2021

Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions.

Peng Zhao, Lijun Zhang

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Towards Enabling Learnware to Handle Unseen Jobs.

Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Storage Fit Learning with Feature Evolvable Streams.

Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploratory Machine Learning with Unknown Unknowns.

Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Handling concept drift via model reuse.

Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou

Mach. Learn., 2020

A Simple Online Algorithm for Competing with Dynamic Comparators.

Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

An Unbiased Risk Estimator for Learning with Augmented Classes.

Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dynamic Regret of Convex and Smooth Functions.

Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning with Feature and Distribution Evolvable Streams.

Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the 37th International Conference on Machine Learning, 2020

A Simple Approach for Non-stationary Linear Bandits.

Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

An Unbiased Risk Estimator for Learning with Augmented Classes.

Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

CoRR, 2019

Learning from Incomplete and Inaccurate Supervision.

Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes.

Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Improving Deep Forest by Confidence Screening.

Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou

Proceedings of the IEEE International Conference on Data Mining, 2018

Label Distribution Learning by Optimal Transport.

Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dual Set Multi-Label Learning.

Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Distribution-Free One-Pass Learning.

Peng Zhao, Zhi-Hua Zhou

CoRR, 2017

Multi-View Matrix Completion for Clustering with Side Information.

Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017