Yu-Jie Zhang

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Peng ZhaoNanjing UniversityVerified email at lamda.nju.edu.cn
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Zhen-Yu ZhangRIKEN-AIP, Postdoctoral ResearcherVerified email at riken.jp
Yong BaiNanjing UniversityVerified email at lamda.nju.edu.cn
Yu-Hu Yan南京大学Verified email at lamda.nju.edu.cn
Wei-Wei TuNanjing University, ChaLearnVerified email at lamda.nju.edu.cn
Yu-Yang QianNanjing UniversityVerified email at lamda.nju.edu.cn
Xin-Qiang CaiThe University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Takashi IshidaResearch Scientist, RIKEN AIP / Lecturer, The University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Wei WangUniversity of Tokyo / RIKENVerified email at ms.k.u-tokyo.ac.jp
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Long-Fei LiNanjing UniverisityVerified email at lamda.nju.edu.cn
Lijun ZhangNanjing UniversityVerified email at nju.edu.cn
Chao-Kai ChiangProject Assistant Professor, Sugiyama-Yokoya-Ishida Lab, University of TokyoVerified email at edu.k.u-tokyo.ac.jp

Yu-Jie Zhang

The University of Tokyo

Verified email at ms.k.u-tokyo.ac.jp - Homepage

Machine Learning Online Learning Weakly Supervised Learning


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Dynamic regret of convex and smooth functions P Zhao, YJ Zhang, L Zhang, ZH Zhou Advances in Neural Information Processing Systems 33, 12510-12520, 2020	94	2020
Adaptivity and non-stationarity: Problem-dependent dynamic regret for online convex optimization P Zhao, YJ Zhang, L Zhang, ZH Zhou Journal of Machine Learning Research 25 (98), 1-52, 2024	34	2024
Exploratory machine learning with unknown unknowns P Zhao, JW Shan, YJ Zhang, ZH Zhou Artificial Intelligence 327, 104059, 2024	25	2024
Adapting to online label shift with provable guarantees Y Bai, YJ Zhang, P Zhao, M Sugiyama, ZH Zhou Advances in Neural Information Processing Systems 35, 29960-29974, 2022	24	2022
An unbiased risk estimator for learning with augmented classes YJ Zhang, P Zhao, L Ma, ZH Zhou Advances in Neural Information Processing Systems 33, 10247-10258, 2020	20	2020
A simple online algorithm for competing with dynamic comparators YJ Zhang, P Zhao, ZH Zhou Conference on Uncertainty in Artificial Intelligence, 390-399, 2020	16	2020
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation YJ Zhang, ZY Zhang, P Zhao, M Sugiyama Thirty-seventh Conference on Neural Information Processing Systems, 2023	10	2023
Towards enabling learnware to handle unseen jobs YJ Zhang, YH Yan, P Zhao, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10964 …, 2021	10	2021
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization S Chen, YJ Zhang, WW Tu, P Zhao, L Zhang arXiv preprint arXiv:2302.04552, 2023	8	2023
Online (multinomial) logistic bandit: Improved regret and constant computation cost YJ Zhang, M Sugiyama Advances in Neural Information Processing Systems 36, 2024	6	2024
Imitation learning from vague feedback XQ Cai, YJ Zhang, CK Chiang, M Sugiyama Advances in Neural Information Processing Systems 36, 48275-48292, 2023	4	2023
Adaptive Learning for Weakly Labeled Streams ZY Zhang, YY Qian, YJ Zhang, Y Jiang, ZH Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	2	2022
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation LF Li, YJ Zhang, P Zhao, ZH Zhou arXiv preprint arXiv:2405.17061, 2024		2024
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation YY Qian, P Zhao, YJ Zhang, M Sugiyama, ZH Zhou Forty-first International Conference on Machine Learning, 2024		2024
Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning W Wang, T Ishida, YJ Zhang, G Niu, M Sugiyama arXiv preprint arXiv:2311.15502, 2023		2023

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