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FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference., , , , , , и . J. Mach. Learn. Res., (2021)Multi-Task Learning Improves Performance In Deep Argument Mining Models., , , и . CoRR, (2023)Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation., , , , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 1089-1098. AUAI Press, (2020)Interpretable Almost Matching Exactly With Instrumental Variables., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 1116-1126. AUAI Press, (2019)A Double Machine Learning Approach to Combining Experimental and Observational Data., , , , , и . CoRR, (2023)Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference., , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3252-3262. PMLR, (2020)dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference., , , , , , , , , и 2 other автор(ы). CoRR, (2021)Methods for Robust and Interpretable Causal Inference and Analysis of Image Data for Political Science.. Duke University, Durham, NC, USA, (2021)base-search.net (ftdukeunivdsp:oai:localhost:10161/23725).