Qin Ding

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Contextual Bandit

Top Venues

Publications

Qin Ding, Cho-Jui Hsieh, James Sharpnack
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. AISTATS (2022)
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)
Qin Ding, Cho-Jui Hsieh, James Sharpnack
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. AISTATS (2021)
Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. CoRR (2021)
Qin Ding, Cho-Jui Hsieh, James Sharpnack
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. CoRR (2021)
Qin Ding, Cho-Jui Hsieh, James Sharpnack
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. CoRR (2020)
Qin Ding, Cho-Jui Hsieh, James Sharpnack
Multiscale Non-stationary Stochastic Bandits. CoRR (2020)
Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh
A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS (2019)