Gi-Soo Kim | DeepAI

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Featured Co-authors

Myunghee Cho Paik
11 publications
Wonyoung Kim
7 publications
Young-Geun Choi
4 publications
Elkhan Ismayilzada
2 publications
Seunghoon Paik
2 publications
Jane P. Kim
1 publication
Mubarrat Chowdhury
1 publication
Khalequzzaman Sayem
1 publication
Young Suh Hong
1 publication
Tae Hoon Lee
1 publication
Hongsoo Kim
1 publication

∙ 03/13/2023

Bandit-supported care planning for older people with complex health and care needs

Long-term care service for old people is in great demand in most of the ...

0 Gi-Soo Kim, et al. ∙

∙ 01/20/2023

GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation

In sequential decision-making scenarios i.e., mobile health recommendati...

0 Mubarrat Chowdhury, et al. ∙

∙ 08/21/2022

Robust Tests in Online Decision-Making

Bandit algorithms are widely used in sequential decision problems to max...

0 Gi-Soo Kim, et al. ∙

∙ 05/17/2022

Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization

Non-stationarity is ubiquitous in human behavior and addressing it in th...

0 Young-Geun Choi, et al. ∙

∙ 02/01/2021

Doubly Robust Thompson Sampling for linear payoffs

A challenging aspect of the bandit problem is that a stochastic reward i...

0 Wonyoung Kim, et al. ∙

∙ 07/26/2019

Doubly-Robust Lasso Bandit

Contextual multi-armed bandit algorithms are widely used in sequential d...

0 Gi-Soo Kim, et al. ∙

∙ 01/31/2019

Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model

Contextual multi-armed bandit (MAB) algorithms have been shown promising...

0 Gi-Soo Kim, et al. ∙

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