16 citations · 21 across the 8 of their papers we have counts for
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stat.ML2024
Low-rank Matrix Bandits with Heavy-tailed Rewards
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
In stochastic low-rank matrix bandit, the expected reward of an arm is equal to the inner product between its feature matrix and some unknown by low-rank parameter matr…
stat.ML2024★ 2 cited
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee
In the stochastic contextual low-rank matrix bandit problem, the expected reward of an action is given by the inner product between the action's feature matrix and some fixed, but…
stat.ML2021★ 1 cited
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
Qin Ding, Yue Kang, Yi-Wei Liu +3
The stochastic contextual bandit problem, which models the trade-off between exploration and exploitation, has many real applications, including recommender systems, online adverti…