Edoardo M Airoldi

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Gábor CsárdiRStudioVerified email at rstudio.com
Panagiotis (Panos) ToulisUniversity of Chicago, Booth SchoolVerified email at chicagobooth.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraVerified email at pstat.ucsb.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationVerified email at princeton.edu
Margaret E. RobertsPolitical Science, University of California San DiegoVerified email at ucsd.edu
Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltVerified email at vanderbilt.edu
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd UniversityVerified email at hal.elte.hu
Eric WangUniversity of FloridaVerified email at ufl.edu
Tuan Q. PhanAssociate Professor of BusinessVerified email at hku.hk
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton UniversityVerified email at fas.harvard.edu
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic MedicineVerified email at uchicago.edu
David BotsteinPrinceton UniversityVerified email at princeton.edu
Dave ChoiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Jean Pouget-AbadieGoogle ResearchVerified email at google.com
Laura ForastiereAssistant ProfessorVerified email at yale.edu
Patrick J. WolfeProfessor of Statistics, University College LondonVerified email at stat.harvard.edu

Edoardo M Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University

Verified email at fas.harvard.edu

Statistics Causal Inference Network Science Statistical Machine Learning Artificial Intelligence


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Independent-set design of experiments for estimating treatment and spillover effects under network interference C Cai, X Zhang, EM Airoldi arXiv preprint arXiv:2312.04026, 2023		2023
On the admissibility of Horvitz-Thompson estimator for estimating causal effects under network interference V Karwa, EM Airoldi arXiv preprint arXiv:2312.01234, 2023		2023
INAUGURAL ARTICLE by a Recently Elected Academy Member: Estimating the total treatment effect in randomized experiments with unknown network structure CL Yu, EM Airoldi, C Borgs, JT Chayes Proceedings of the National Academy of Sciences of the United States of …, 2022	23*	2022
Wrapped distributions on homogeneous Riemannian manifolds F Galaz-Garcia, M Papamichalis, K Turnbull, S Lunagomez, E Airoldi arXiv preprint arXiv:2204.09790, 2022	6	2022
Optimizing randomized and deterministic saturation designs under interference C Cai, J Pouget-Abadie, EM Airoldi arXiv preprint arXiv:2203.09682, 2022	5	2022
Estimating causal effects under network interference with Bayesian generalized propensity scores L Forastiere, F Mealli, A Wu, EM Airoldi Journal of Machine Learning Research 23 (289), 1-61, 2022	14	2022
Latent space network modeling with continuous and discrete geometries M Papamichalis, K Turnbull, S Lunagomez, E Airoldi arXiv preprint arXiv:2109.03343, 2021	1*	2021
Identification and estimation of treatment and interference effects in observational studies on networks L Forastiere, EM Airoldi, F Mealli Journal of the American Statistical Association, 2021	188	2021
Impact of academic interaction networks on grades and jobs: Evidence from four-year university trajectories T Phan, D Ding, P Bhattacharya, E Airoldi		2021
Estimating the conditional response time to a request for confidential data K Kenthapadi, SMD Ambler, EM Airoldi US Patent 10,970,644, 2021		2021
Estimating causal effects when treatments are entangled by network dynamics P Toulis, A Volfovsky, EM Airoldi Working paper, 2021	1	2021
The proximal Robbins-Monro method P Toulis, T Horel, EM Airoldi Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2021	44*	2021
Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ... arXiv preprint, 2010.02108, 2020	19	2020
Stacking models for nearly optimal link prediction in complex networks A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset Proceedings of the National Academy of Sciences 117 (38), 23393-23400, 2020	132	2020
Nonstandard conditionally specified models for nonignorable missing data AM Franks, EM Airoldi, DB Rubin Proceedings of the National Academy of Sciences 117 (32), 19045-19053, 2020	24*	2020
Machine learning model for estimating confidential information response K Kenthapadi, SMD Ambler, EM Airoldi US Patent 10,558,923, 2020	5	2020
Intersection of the web-based vaping narrative with COVID-19: A topic modeling study K Janmohamed, AN Soale, L Forastiere, W Tang, Y Sha, J Demant, ... Journal of Medical Internet Research 22 (10), e21743, 2020	22	2020
Testing for arbitrary interference on experimentation platforms J Pouget-Abadie, G Saint-Jacques, S Saveski, W Duan, S Ghosh, Y Xu, ... Biometrika 106 (4), 929–940, 2019	46	2019
Effects of new media on eviction rates R Ruane, Y Vorotyntseva, S Kumar, EM Airoldi International Conference on Data Analytics 8, 55-56, 2019		2019
Latent space modeling of hypergraph data K Turnbull, S Lunagomez Coria, C Nemeth, E Airoldi arXiv preprint, 1909.00472, 2019	13*	2019

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