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ORCIDQin Ding 0002
Person information
- affiliation: University of California, Davis, CA, USA
Other persons with the same name
- Qin Ding 0001 — East Carolina University, Greenville, NC, USA (and 1 more)
- Qin Ding 0003 — University of Science and Technology of China, Hefei, China
- Qin Ding 0004 — Guilin University of Technology, College of Geomatics and Geoinformation, China
- Qin Ding 0005 — Hainan University, School of Information and Communication Engineering, Haikou, China
- Qin Ding 0006
![[0009-0009-0988-8126]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0009-0988-8126")
— Anhui University of Science and Technology, China
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2020 – today
- 2022
[c4]Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. AISTATS 2022: 7111-7123- [c3]Qin Ding, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack:
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. NeurIPS 2022 - 2021
- [c2]Qin Ding, Cho-Jui Hsieh, James Sharpnack:
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. AISTATS 2021: 1585-1593 - [i4]Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. CoRR abs/2106.02978 (2021) - [i3]Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack:
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. CoRR abs/2106.02979 (2021) - 2020
- [i2]Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Multiscale Non-stationary Stochastic Bandits. CoRR abs/2002.05289 (2020) - [i1]Qin Ding, Cho-Jui Hsieh, James Sharpnack:
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. CoRR abs/2006.04012 (2020)
2010 – 2019
- 2019
- [c1]Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh:
A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS 2019: 3004-3012
Coauthor Index
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