Seuraa
Lin Ge
Lin Ge
Applied Scientist, Amazon
Vahvistettu sähköpostiosoite verkkotunnuksessa amazon.com
Nimike
Viittaukset
Viittaukset
Vuosi
Metadata-based multi-task bandits with bayesian hierarchical models
R Wan, L Ge, R Song
Advances in Neural Information Processing Systems 34, 29655-29668, 2021
322021
Towards scalable and robust structured bandits: A meta-learning framework
R Wan, L Ge, R Song
International Conference on Artificial Intelligence and Statistics, 1144-1173, 2023
152023
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
H Jiang, L Ge, Y Gao, J Wang, R Song
First Conference on Language Modeling, 2023
10*2023
A reinforcement learning framework for dynamic mediation analysis
L Ge, J Wang, C Shi, Z Wu, R Song
International Conference on Machine Learning, 11050-11097, 2023
42023
Continuous-Time Hidden Markov Factor Model for Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
L Ge, X An, D Zeng, S McLean, R Kessler, R Song
IEEE Journal of Biomedical and Health Informatics, 2024
2024
Multi-task combinatorial bandits for budget allocation
L Ge, Y Xu, J Chu, D Cramer, F Li, K Paulson, R Song
arXiv preprint arXiv:2409.00561, 2024
2024
On Sequential Decision Making: Online Optimization and Offline Evaluation
L Ge
2024
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
L Ge, X An, D Zeng, S McLean, R Kessler, R Song
arXiv preprint arXiv:2202.12819, 2022
2022
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