| Exposure to opposing views on social media can increase political polarization CA Bail, LP Argyle, TW Brown, JP Bumpus, H Chen, MBF Hunzaker, ... Proceedings of the National Academy of Sciences 115 (37), 9216-9221, 2018 | 1997 | 2018 |
| Assessing the Russian Internet Research Agency’s impact on the political attitudes and behaviors of American Twitter users in late 2017 CA Bail, B Guay, E Maloney, A Combs, DS Hillygus, F Merhout, D Freelon, ... Proceedings of the national academy of sciences 117 (1), 243-250, 2020 | 253 | 2020 |
| Designs for estimating the treatment effect in networks with interference R Jagadeesan, NS Pillai, A Volfovsky | 59 | 2020 |
| FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference T Wang, M Morucci, MU Awan, Y Liu, S Roy, C Rudin, A Volfovsky Journal of Machine Learning Research 22 (31), 1-41, 2021 | 52 | 2021 |
| Likelihoods for fixed rank nomination networks P Hoff, B Fosdick, A Volfovsky, K Stovel Network Science 1 (3), 253-277, 2013 | 44 | 2013 |
| Multiple imputation using Gaussian copulas FM Hollenbach, I Bojinov, S Minhas, NW Metternich, MD Ward, ... Sociological Methods & Research 50 (3), 1259-1283, 2021 | 42* | 2021 |
| amen: Additive and multiplicative effects models for networks and relational data P Hoff, B Fosdick, A Volfovsky, Y He R package version 1 (9), 2017 | 40* | 2017 |
| Malts: Matching after learning to stretch H Parikh, C Rudin, A Volfovsky Journal of Machine Learning Research 23 (240), 1-42, 2022 | 36* | 2022 |
| Interpretable almost-exact matching for causal inference A Dieng, Y Liu, S Roy, C Rudin, A Volfovsky The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 34* | 2019 |
| Reducing political polarization in the United States with a mobile chat platform A Combs, G Tierney, B Guay, F Merhout, CA Bail, DS Hillygus, ... Nature human behaviour 7 (9), 1454-1461, 2023 | 32* | 2023 |
| Reinforcement learning methods in public health J Weltz, A Volfovsky, EB Laber Clinical therapeutics 44 (1), 139-154, 2022 | 28 | 2022 |
| Likelihood-based inference for partially observed epidemics on dynamic networks F Bu, AE Aiello, J Xu, A Volfovsky Journal of the American Statistical Association 117 (537), 510-526, 2022 | 25 | 2022 |
| Causal inference for ordinal outcomes A Volfovsky, EM Airoldi, DB Rubin arXiv preprint arXiv:1501.01234, 2015 | 24 | 2015 |
| The geometry of community detection via the mmse matrix G Reeves, V Mayya, A Volfovsky 2019 IEEE international symposium on information theory (isit), 400-404, 2019 | 21 | 2019 |
| Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study H Parikh, K Hoffman, H Sun, SF Zafar, W Ge, J Jing, L Liu, J Sun, A Struck, ... The Lancet Digital Health 5 (8), e495-e502, 2023 | 19 | 2023 |
| Almost-matching-exactly for treatment effect estimation under network interference U Awan, M Morucci, V Orlandi, S Roy, C Rudin, A Volfovsky International Conference on Artificial Intelligence and Statistics, 3252-3262, 2020 | 19 | 2020 |
| Estimating causal effects when treatments are entangled by network dynamics P Toulis, A Volfovsky, EM Airoldi Working paper, 2021 | 18* | 2021 |
| Adaptive hyper-box matching for interpretable individualized treatment effect estimation M Morucci, V Orlandi, S Roy, C Rudin, A Volfovsky Conference on Uncertainty in Artificial Intelligence, 1089-1098, 2020 | 13 | 2020 |
| Testing for nodal dependence in relational data matrices A Volfovsky, PD Hoff Journal of the American Statistical Association 110 (511), 1037-1046, 2015 | 13 | 2015 |
| Hierarchical array priors for ANOVA decompositions of cross-classified data A Volfovsky, PD Hoff The annals of applied statistics 8 (1), 19, 2014 | 13* | 2014 |
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
