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Yu-Jie Zhang
Yu-Jie Zhang
Подтвержден адрес электронной почты в домене ms.k.u-tokyo.ac.jp - Главная страница
Название
Процитировано
Процитировано
Год
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
942020
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
342024
Exploratory machine learning with unknown unknowns
P Zhao, JW Shan, YJ Zhang, ZH Zhou
Artificial Intelligence 327, 104059, 2024
252024
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
242022
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
202020
A simple online algorithm for competing with dynamic comparators
YJ Zhang, P Zhao, ZH Zhou
Conference on Uncertainty in Artificial Intelligence, 390-399, 2020
162020
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
102023
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
102021
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
82023
Online (multinomial) logistic bandit: Improved regret and constant computation cost
YJ Zhang, M Sugiyama
Advances in Neural Information Processing Systems 36, 2024
62024
Imitation learning from vague feedback
XQ Cai, YJ Zhang, CK Chiang, M Sugiyama
Advances in Neural Information Processing Systems 36, 48275-48292, 2023
42023
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
22022
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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Статьи 1–15