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Gi-Soo Kim
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2020 – today
- 2024
- [c8]Kyungbok Lee
, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim:
Mixed-Effects Contextual Bandits. AAAI 2024: 13409-13417 - [i8]Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee:
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making. CoRR abs/2405.20821 (2024) - 2023
- [j2]Young-Geun Choi
, Gi-Soo Kim
, Seunghoon Paik
, Myunghee Cho Paik:
Semi-parametric contextual bandits with graph-Laplacian regularization. Inf. Sci. 645: 119367 (2023) - [c7]Gi-Soo Kim, Young Suh Hong, Tae Hoon Lee, Myunghee Cho Paik, Hongsoo Kim:
Bandit-supported care planning for older people with complex health and care needs. AICAS 2023: 1-5 - [c6]Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh:
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model. ICML 2023: 5771-5786 - [c5]Minhyun Kang, Gi-Soo Kim:
Heavy-tailed linear bandit with Huber regression. UAI 2023: 1027-1036 - [i7]Mubarrat Chowdhury, Elkhan Ismayilzada, Khalequzzaman Sayem, Gi-Soo Kim:
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation. CoRR abs/2301.08781 (2023) - [i6]Gi-Soo Kim, Young Suh Hong, Tae Hoon Lee, Myunghee Cho Paik, Hongsoo Kim:
Bandit-supported care planning for older people with complex health and care needs. CoRR abs/2303.07053 (2023) - 2022
- [c4]Gi-Soo Kim, Jane P. Kim, Hyun-Joon Yang
:
Robust Tests in Online Decision-Making. AAAI 2022: 10016-10024 - [i5]Young-Geun Choi, Gi-Soo Kim, Seunghoon Paik, Myunghee Cho Paik:
Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization. CoRR abs/2205.08295 (2022) - [i4]Gi-Soo Kim, Hyun-Joon Yang, Jane P. Kim:
Robust Tests in Online Decision-Making. CoRR abs/2208.09819 (2022) - 2021
- [c3]Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik:
Doubly Robust Thompson Sampling with Linear Payoffs. NeurIPS 2021: 15830-15840 - [i3]Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik:
Doubly Robust Thompson Sampling for linear payoffs. CoRR abs/2102.01229 (2021)
2010 – 2019
- 2019
- [c2]Gi-Soo Kim, Myunghee Cho Paik:
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. ICML 2019: 3389-3397 - [c1]Gi-Soo Kim, Myunghee Cho Paik:
Doubly-Robust Lasso Bandit. NeurIPS 2019: 5869-5879 - [i2]Gi-Soo Kim, Myunghee Cho Paik:
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. CoRR abs/1901.11221 (2019) - [i1]Gi-Soo Kim, Myunghee Cho Paik:
Doubly-Robust Lasso Bandit. CoRR abs/1907.11362 (2019) - 2017
- [j1]Gi-Soo Kim, Myunghee Cho Paik
, Hongsoo Kim:
Causal inference with observational data under cluster-specific non-ignorable assignment mechanism. Comput. Stat. Data Anal. 113: 88-99 (2017)
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last updated on 2024-06-25 20:58 CEST by the dblp team
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