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Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise., , , and . CAMSAP, page 699-703. IEEE, (2019)Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3252-3262. PMLR, (2020)Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference., , , , and . CoRR, (2018)dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference., , , , , , , , , and 2 other author(s). CoRR, (2021)Networks., and . Handbook of Big Data, Chapman and Hall/CRC, (2016)FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference., , , , , , and . J. Mach. Learn. Res., (2021)Neighborhood Adaptive Estimators for Causal Inference under Network Interference., , and . CoRR, (2022)Author Clustering and Topic Estimation for Short Texts., , and . CoRR, (2021)Interpretable Almost-Exact Matching for Causal Inference., , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2445-2453. PMLR, (2019)Variable importance matching for causal inference., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1174-1184. PMLR, (2023)