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Continual Treatment Effect Estimation: Challenges and Opportunities.

, и . AAAI Bridge Program, том 208 из Proceedings of Machine Learning Research, стр. 11-17. PMLR, (2023)

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Data-Centric Financial Large Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Matching in Selective and Balanced Representation Space for Treatment Effects Estimation., , и . CIKM, стр. 205-214. ACM, (2020)Causal Effect Estimation: Recent Advances, Challenges, and Opportunities., , , , и . CoRR, (2023)Enhancing Event Sequence Modeling with Contrastive Relational Inference., , , , , , , , , и 2 other автор(ы). ICASSP, стр. 6145-6149. IEEE, (2024)A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Invariant Graph Learning for Causal Effect Estimation., , , , , , , , и . WWW, стр. 2552-2562. ACM, (2024)Time-LLM: Time Series Forecasting by Reprogramming Large Language Models., , , , , , , , , и 1 other автор(ы). CoRR, (2023)VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting., , , , и . ECAI, том 392 из Frontiers in Artificial Intelligence and Applications, стр. 2958-2965. IOS Press, (2024)Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data., , и . KDD, стр. 176-184. ACM, (2021)Continual Treatment Effect Estimation: Challenges and Opportunities., и . AAAI Bridge Program, том 208 из Proceedings of Machine Learning Research, стр. 11-17. PMLR, (2023)