引用次数
引用: 831
H-指数: 15
I10-指数 : 16
出版物: 29
Accommodating picky customers: Regret bound and exploration complexity for multi-objective reinforcement learning
Jingfeng Wu , Vladimir Braverman , Lin Yang
Advances in Neural Information Processing Systems 34 13112 -13124
15
2021
Gap-dependent unsupervised exploration for reinforcement learning
Jingfeng Wu , Vladimir Braverman , Lin Yang
International Conference on Artificial Intelligence and Statistics 4109 -4131
14
2022
Fixed design analysis of regularization-based continual learning
Haoran Li , Jingfeng Wu , Vladimir Braverman
Conference on Lifelong Learning Agents 513 -533
5
2023
Twenty Years After: Hierarchical Core-Stateless Fair Queueing.
Zhuolong Yu , Jingfeng Wu , Vladimir Braverman , Ion Stoica
USENIX NSDI
32
2021
Ship Compute or Ship Data? Why Not Both?
Jie You , Jingfeng Wu , Xin Jin , Mosharaf Chowdhury
USENIX NSDI
19
2021
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
Yuhang Cai , Jingfeng Wu , Song Mei , Michael Lindsey
arXiv preprint arXiv:2406.08654
2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin , Jingfeng Wu , Sham M Kakade , Peter L Bartlett
arXiv preprint arXiv:2406.08466
2024
RISK CONVERGENCE AND ALGORITHMIC REGULARIZATION OF DISCRETE-STEPSIZE (STOCHASTIC) GRADIENT DESCENT
Jingfeng Wu
Johns Hopkins University
2023
Private Overparameterized Linear Regression without Suffering in High Dimensions
Lingxiao Wang , Difan Zou , Kumar Kshitij Patel , Jingfeng Wu