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Yulian Wu
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2020 – today
- 2024
- [c5]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. COLT 2024: 3325-3352 - [i6]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang
, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. CoRR abs/2402.09201 (2024) - 2023
- [c4]Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang:
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. ICML 2023: 37880-37918 - [c3]Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang:
On Private and Robust Bandits. NeurIPS 2023 - [i5]Yulian Wu, Chaowen Guan, Vaneet Aggarwal, Di Wang:
Quantum Heavy-tailed Bandits. CoRR abs/2301.09680 (2023) - [i4]Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang:
On Private and Robust Bandits. CoRR abs/2302.02526 (2023) - [i3]Bhargav Ganguly, Yulian Wu, Di Wang, Vaneet Aggarwal:
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. CoRR abs/2302.08617 (2023) - [i2]Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang:
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. CoRR abs/2306.01121 (2023) - 2022
- [c2]Youming Tao, Yulian Wu, Peng Zhao, Di Wang:
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. AISTATS 2022: 1546-1574 - [c1]Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang:
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. IJCAI 2022: 3947-3953 - 2021
- [i1]Youming Tao
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. CoRR abs/2106.02575 (2021)
2010 – 2019
- 2018
- [j2]Lisong Wang
Improved English Immersion Teaching Methods for the Course of Power Electronics for Energy Storage System in China. IEEE Access 6: 50683-50692 (2018) - 2016
- [j1]Yulian Wu:
Speckle noise removal via nonlocal low-rank regularization. J. Vis. Commun. Image Represent. 39: 172-180 (2016)
Coauthor Index
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