6 citations · 6 across the 2 of their papers we have counts for
3 papers
stat.ML2022
Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization
Young-Geun Choi, Gi-Soo Kim, Seunghoon Paik +1
Non-stationarity is ubiquitous in human behavior and addressing it in the contextual bandits is challenging. Several works have addressed the problem by investigating semi-parametr…
stat.ML2019
Doubly-Robust Lasso Bandit
Gi-Soo Kim, Myunghee Cho Paik
Contextual multi-armed bandit algorithms are widely used in sequential decision tasks such as news article recommendation systems, web page ad placement algorithms, and mobile heal…
stat.ML2019★ 6 cited
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Gi-Soo Kim, Myunghee Cho Paik
Contextual multi-armed bandit (MAB) algorithms have been shown promising for maximizing cumulative rewards in sequential decision tasks such as news article recommendation systems,…